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[ "stsampling is used in clustering", "r calculating posterior mean of cluster", "how to do normal conjugate in r", "which is an example of a normal conjugate prior?", "what is r conjugate in probability", "how to calculate posterior median of clusters in r", "what is meant by conjugate prior", "how to implement a normal conjugate prior", "how does a prior conjugate work with r", "what is the conjugate priors in r", "how do you calculate posterior means", "what is the formula r to use when applying posterior of the mean", "how to find the posterior range of probability", "which of the following is a normal conjugate?", "what is the code for conjugate", "how to calculate posterior variance in r", "r calculates the posterior mean of the clusters", "what is conjugate prior in r", "if the prior correlation matrix is normal and the variance is known, which statement would be interpreted as the sum of the mean and variance?", "r __________ is normally distributed" ]

[ "what is axis limitations in r plot", "what are the axes in r", "what is the axis limitation of a plot", "plotting option", "setting axis limits r", "how to plot the axis of the classifier", "how to find axis limit in plot", "what axe limits does r use", "what is the max distance in a r plot", "what is the axis limit on r plot", "what is the axis for r plot", "how to set axis limits in R", "what is the axes limit setting for r", "how to set axis limits in r", "what are the axis limits for r", "what are the axis limits", "what is the axis limit in r chart", "which command can i set to plot for axis boundaries", "what are axis limits in r", "what axis to plot" ]

[ "what is the coefficient of a simulation in a sex equation?", "what is the variance matrix?", "how to calculate the coefficient of a linear equation", "what is the structure of a matrix for a linear equation model", "what is the variance coefficient matrix", "what is the variance matrix", "what is the matrix variance in simultaneous equations", "why is the variance coefficient important in an equation model", "how to create a matrix of variance in a simultaneous equation model", "what is the variance matrix in a simulated equation?", "definition of matrixed variance", "which statement is derived from the variance-covariance matrix?", "variance coefficient matrix", "variance-covariance matrix of simultaneous equations", "what is the matrix variance in the model", "what is the matrix of variance in sim", "what are the structural parameters in a simultaneous equation model", "which formula to use for structural parameter of a linear model?", "what is variance and covariance matrix", "what is variance matrix" ]

[ "if confidence interval is low how to calculate for a proportion", "calculate confidence interval in r", "how to calculate confidence intervals", "how to calculate confidence interval", "can you use the confidence interval for a test in r", "how to calculate confidence intervals in r", "how to compute confidence interval", "how to calculate confidence interval", "how to find confidence interval for %s", "how to calculate the confidence interval in sqrt", "how to find a confidence interval for a proportion", "calculating confidence intervals", "how to calculate confidence interval", "what is the confidence interval of a proportion", "how to find confidence interval in r", "how to calculate a confidence interval in the r formula", "calculate confidence interval with binomial", "confidence interval for r function", "how to find the confidence interval for a proportion", "how to find the confidence interval in r" ]

[ "what is the correct formula for x and y", "1.69% is what percent", "what is the difference between 1.69% and 1.69%", "what is the correct formula for 1.69%", "what percentage is the 1.69% formula", "what is the formula of y vs. 1.69%", "what is the formula for 1.69%", "what is the formula for y", "what is the difference between 1.69% and 1.65%", "what is 1.69%", "what is 1.69% formula", "what is the mean vs mean for maq", "what is mean y 1.69%", "what's the accuracy of the formula for mean y", "what is the formula of 1.69%", "what is the average age range in maq", "how to calculate y of a time series", "how to find 1.69% accuracy", "what is the accuracy of the formula for time series", "what is the formula for 1.69%" ]

[ "when do you do sample rejection", "can sampling be increased using normal distributions", "how to select a point in a distribution from the tails", "how to do regression analysis in Monte Carlo?", "how to increase probability of sampling", "how does regression sampling increase probability", "how to calculate reject sampling", "what is the sampling rate for a regression analysis", "why is a sampling sample resuming a normal distribution", "how to test reject sampling from a normal distribution", "what is regression sampling", "what is the sampling rate for normal distribution", "what is the sampling interval in a Monte Carlo simulation", "how to sample for rejection sampling", "how does a normal distribution test for sample sampling", "sample from a normal distribution in a monte carlo model", "what sample would be used in db regression", "why is sampling a normal distribution", "how can i estimate the probability associated with sampling of a normal distribution in a monte carlo simulation?", "when you sample from a normal distribution what is the probability associated with this sampling" ]

[ "how to handle predictor variables in logistic regression?", "what is logistic regression model", "how to handle variables with a logistic regression?", "how to handle variables with different distribution", "how does logistic regression handle variables for y", "logistic regression predictor variable", "logistic regression how do you handle variable", "how is logistic regression supposed to handle variables with different scales", "logistic regression how to use", "logistic regression predictor variables", "logistic models handle variables", "what variables in logistic regression are different", "logistic regression for variable size", "can logistic regression handle predictor variables", "how logistic regression handles variables", "what is logistic regression used for", "logistic regression for predicting y", "how do you do logistic regression", "logistic regression model definition", "how do you handle a variable in logistic regression" ]

[ "why do you need to do pearson correlation?", "why do you use pearson correlation on proportional", "why is it not okay to use ppt correlation", "is it okay to do a pearson correlation when interpreting proportional data", "why is it not always okay to do a pearson correlation?", "why not use pearson correlation in proportion data", "why is it not okay to do a pearson correlation on proportional data?", "why is it not okay to use pearson correlation", "why is it not OK to do pearson correlation", "why not using pearson correlation", "why is pearson correlation not acceptable", "why can't one do pearson correlation with proportion", "why not do pearson correlation", "why is pearson coefficient not always acceptable", "why not use pearson correlation", "why is pearson correlation not used", "can you do pearson correlation?", "why not do pearson correlation", "why is it not OK to do a pearson correlation on proportion data?", "why is it not ok to use pearson correlation with proportional data" ]

[ "why is it important to measure similarity between two samples of data?", "how do you measure similarity", "can similarity between two samples of data be based on local averages?", "how to measure similarity between two samples of data using spatial data", "how are local fluctuations measured", "how to measure similarity between two samples of data", "what is the difference in similarity of different sample", "how can i find similarity between a pair of data samples", "what is the measure of similarity in data", "what is the measure and the measurement of similarity", "what is the difference between local and spatial variance?", "how to measure similarity in data", "how to measure similarity", "how to measure similarity between data", "what is the difference between a similar sample and a spacialized sample?", "what is the measurement for similarity between two sample?", "how do we measure similarity", "which of the following is a useful instrument for measuring similarity?", "how do you measure similarity in two sample", "can you measure similarity between two samples" ]

[ "what is type i error in a p test?", "is false discovery a type i error", "what is the true false discovery rate in psychology", "which type of value should not be confused with the significance level", "when using p value to find false discovery", "which statement is wrong about false detection?", "when the type of error is false discovery the test", "is p value false discovery", "how is false discovery rate calculated", "what is p value mean", "what type of error is p-value", "what is false discovery of p?", "what type of error would you expect when a p-value is calculated?", "what is the difference between the significance levels and the p value", "which of the following is a false discovery", "which of the following is true for false discovery?", "what is type i error?", "which of the following is true of false discovery?", "when to use false discovery", "what is the p value in a t test for false discovery" ]

[ "what is correlation vs cause effect regression", "what is the difference between a correlation and cause and effect", "what model is used for x-y relationship", "why is a cause and effect model used in correlation analysis.", "does a relationship between a moderator and correlation require a model", "how does a correlation model work", "what is the x y correlation", "what is the correlation model used for", "is the x y relationship a correlation or cause effect", "what is the cause-effect model used for correlation?", "why is it used in correlation analysis", "what model is used to test the correlation between variables", "why is a correlation model used", "why is the correlation and effect regression", "why is a correlation model used", "when does correlation or correlation imply causation", "does correlation imply causation", "what does the correlation test indicate for a regression", "when do you use correlation or cause-effect regression", "what is a correlation model used for" ]

[ "why is it futile to use the deviance statistic for bernoulli data?", "why is it futile to use the deviance statistic", "why is it futile to use the deviance statistic", "why is it futile to use bernoulli deviance", "which statement is futile?", "why is it futile to use the deviance statistic", "why is it futile to use the deviance statistic as a goodness of fit measure", "why is it futile to use the deviance statistic as a goodness of fit measure for bernoulli observations?", "why is it futile to use the deviance statistic as goodness fit", "why is it futile to use the deviance as a goodness-of fit measure?", "what is the futility of the deviance statistic", "why is it futile to use the deviance as a goodness of fit measure for bernoulli observation?", "why is it futile to use the deviance statistic in a linear logistic regression model?", "why is it futile to use the deviance statistic as goodness of fit", "why use the deviance function", "why is it futile to use the deviance statistic as a goodness of fit measure", "why is it futile to use the deviance statistic in logistic regression", "why is the brunoulli deviance statistic futile", "why is it futile to use the deviance statistic as a goodness-of-fit measure", "why is it futile to use the deviance statistic as a goodness of fit measure?" ]

[ "how to calculate severity of illness in stata", "what model to use to determine severity", "how to estimate severity of illness", "how to imputation severity", "how to use multiple imputation to model severity of illness", "which of these is true about multiple imputation?", "how to calculate physiology score in stata", "how to use multiple imputation of physiology", "physiologic severity imputation", "physiology imputation model", "how to do imputation", "how to imputation a severity of illness model", "what is the best way to estimate the severity of a complication", "how to imputation severity of an illness", "can we use multiple imputation and a weighted average score?", "what is severity of illness in stata", "how to use multiple imputation", "difference between imputation and regression model", "how to calculate severity of illness", "difference between imputation and weighting" ]

[ "sst kr", "how to calculate sst in statistic analysis", "what is the statistic of kushkal wallis", "how to calculate sst in kuskal wallis", "what is the test statistic of kruskal wallis", "what is the sst of a kruskal wallis analysis", "what does ssb/sst depend on", "how does the statistics of kuskal wallis work", "what is the sst in a rank test", "calculate test statistic using numbers", "what is the test statistic for sst", "how is the test statistic calculated on the ranks of observations", "how do you know the sst of the kruskal wallis test statistic", "how is the sst calculated", "kroskal wallis test statistic", "how does ssb and sst of kruskal wallis test work?", "calculate sst using statistics", "how to calculate the sst", "what is the value of a sst test?", "what is the test statistic for kruskal wallis" ]

[ "does dft require uneven sample", "what is dft data", "can dft be used to detect frequency", "how do you find out the frequency of dft data", "how to use dft in differential equation", "how to use dft for uneven sampling", "how to do the dft test in data compensation", "how to use dft", "what does dft mean", "what is the dft method of ferraz-mello?", "what method is used by a dft", "what is the dft", "how to use dft example", "dft example", "what is the dft in statistics", "why does dft work", "is dft an uneven sampling method", "does dft work in dft", "how to do dft", "how to calculate dft frequency" ]

[ "why is it necessary to have a minimum number of observations in multiple regression?", "how can overfitting be solved", "how can overfitting be solved", "why is it important to have at least two observations in a regression model of overfitting?", "how to solve for overfitted regression models", "what is the minimum data needed to overfit", "how often should you have observations to solve an overdetermined model", "what is the minimum number of observation for mri analysis", "what is the problem of overfitting in multiple regression models", "how many observations are needed in a regression", "how many observers are needed for an overfitted system", "is it true the model is overfitted", "how is overfitting solved", "why is it bad to overfit a regression model if not enough observations", "how many observations are needed for a linear model?", "how many observations needed to overfit a regression", "how to solve for overfit model with too many predictors", "can overfitting be solved with least squares", "how many observations do you need to overfit a system", "why are too many observations necessary for regression" ]

[ "how do i find the probability of a user choosing a car", "how to estimate the probability of choosing car", "how to estimate probability of choosing a car", "what is the probability of choosing a transit", "what is logistic regression for cars", "how to calculate probability of a user chosing a car", "how to find probability of selecting car", "probability of choosing car in transit", "what is the probability of choosing a car", "how to estimate probability of choosing a car", "how is the probability of choosing a car calculated in logistic regression", "what is the probability of a user choosing a car", "how do you calculate the probability of a driver choosing a vehicle in a road", "average probability of a user choosing a car", "opc for auto transit", "what is the probability of choosing a car", "how do i estimate the probability of choosing an auto", "how to estimate probability of car choosing", "probability to select a transit fare for car", "how do you calculate the probability of a user choosing a car in an invt" ]

[ "when there is no warning", "when to use zero in decision tree", "how to do a zero warning feature", "how to use no warning feature", "how to do day till warning", "which feature can be used to show no warning", "how to use day until warning", "how to use the number of days until warning in a tree", "how do you use the day vs day until warning?", "how to tell when a warning is scheduled", "what is the pro or cons of the inverse of the number till warning?", "how to use a number of days until warning", "when to use the number of days till warning", "number of days till a warning", "how to use a days till warning feature", "why is it important to use zero warning on a business", "how to use time till warning in tree", "how to use 0 to warn a business", "which of the following can be used to create a binary for no warning?", "when should you set the number of days till warning" ]

[ "which threshold does the pearson equation need", "what is meant by threshold in a large time series", "which thresholds are used in time series in which no correlations can be determined?", "thresholds for large time series", "how many data points does a large time series contain", "why are correlations weak", "what is the threshold for a large time series", "how do you determine threshold of a time series", "threshold p values", "threshold for large time series", "what is the statistical threshold for large time series", "how to threshold a time series", "threshold in a large time series", "how do you find a threshold for statistical thresholds", "threshold for large time series", "threshold for large time series", "threshold for large time series", "what threshold should i select between time series?", "what would be the threshold for statistical testing large time series", "which matrix has the weakest correlation between all the data points in each matrix?" ]

[ "can a nna model extrapolate to a training set", "can neural net extrapolate a training set in terms of the predicted values", "can neural net extrapolate in term of output value", "what is the maximum value of extrapolation for neural net", "which neural net model can extrapolate", "can a neural net extrapolate from a training set", "does neural net extrapolate output", "can a neural net extrapolate a data set", "can a neural net extrapolate in terms of input values", "how to extrapolate neural net", "what kind of model is neural net", "does the neural net extrapolate value", "can the neural net extrapolate", "can a neural model extrapolate data?", "when do neural net models extrapolate", "what is the max value of the logistic function in a neural net regression", "can neural net extrapolate", "a neural net model that extrapolates a neuron's output value from the neural network cannot return this", "can a neural net extrapolate output of a training set?", "how to extrapolate from a neural net" ]

[ "endogenous variable is statistically significant", "is an ols variable exogenous or statistically significant", "what is endogenous variable in an ols test", "is the variable in an ols endogenous or statistically insignificant?", "what is an endogenous variable in ols", "what is the endogenous variable and statistical significance in ollis", "which variable is endogenous", "ols definition of variable", "what is the difference in endogenous variable and statistically significant variable", "is endogenous a variable", "which variable is endogenous", "why is an endogenous variable statistically significant", "which variable in the ols is endogenous and statistically significant", "which of the following is an endogenous variable", "what is ols", "what is mean by exogenous and statistical", "what would happen if a variable is endogenous", "endogenous variable is statistically significant in ols", "what is the difference between exogenous and statistically significant variables?", "what is the difference between an exogenous and a statistically significant variable?" ]

[ "how to interpret johansen test in matlab data", "how many times does johansen's test take for a nx2 vector?", "when interpreting johansen's test", "johansen test matlab", "how to interpret matlab results", "what is matlab johansen's test for", "what test to use to analyze time series?", "is johansen's test a math product", "how to interpret johansen test results", "can you read the johansen test in matlab", "can you use johansen test with matlab", "what is johansen test", "how to interpret the johansen test", "how to interpret johanson test in matlab", "how to interpret the johansen test in matlab", "how to interpret matlab test", "how to interpret johansen test", "how to interpret johansen's test", "what is johansen test in matlab", "johansen's analysis of a vector in mla" ]

[ "what program does mpnet use to perform multilevel network simulations?", "can you visualize mpnet output", "what software program do i use to simulate multilevel networks?", "how do you use mpnet in simulation", "what program can be used to create simulations", "what is mpnet output", "what is mpnet output", "can you create mpnet output", "which network simulation program is used for a network?", "how to use mpnet output", "mpnet output", "mpnet how to visualize multi level network", "how to use mpnet simulation", "what is mpnet output", "mpnet simulation how to do", "what does mpnet output mean", "how many vertex does mpnet use to perform simulations?", "what is mpnet used for in simulation", "what program can run a multi level network simulation", "can pnet output multiple network layers" ]

[ "difference between zero and zero", "what is the statistical difference", "what statistic would you use for a statistical difference from zero", "what is the starting statistic for statistically significant data?", "what should you use when testing for statistical variance", "a statistical difference is from zero", "what to use to test for a statistical difference from zero?", "how to figure the difference for a set of data?", "statistical difference in two tailed measures", "what is the starting value for a t test", "what is the starting value of the t test", "t value for statistical difference", "what is the statistical difference?", "how to test for difference from zero", "difference between zero and zero", "statistical difference from zero", "statistical difference from zero", "statistical difference from zero", "when to use the t test for the statistical difference from zero", "t test to find statistical difference" ]

[ "difference between better precision and better recall", "why are algorithms worse", "what is the difference between better precision and worse recall", "does a algorithm have better recall or accuracy than algorithm a", "which algorithm has better recall but better precision than another algorithm?", "which algorithm can have a better recall but a better precision", "which algorithm has worse recall?", "which algorithm has worse recall, or better precision, or better recall?", "can you have better recall or precision", "can a recall algorithm have better precision than a recall algorithm", "which algorithm has better recall", "why does algorithm a have better recall?", "what is the difference between better precision and worse recall", "can an algorithm have a better recall", "which algorithm has a better recall and better precision", "which algorithm is better precision?", "which algorithm has better precision", "which algorithm has more precision", "why algorithm has better recall or precision?", "which algorithm is a better recall or accuracy" ]

[ "how does probability of observation", "which distribution is more accurate to measure an observation", "how to model probability of observation", "estimating probability under a nonnormal distribution", "how can i determine probability of observational error", "what makes an observation a quantile", "what is the probability of observing", "how to find the probability of an observation under a non normal distribution", "probability of observation under a nonnormal distribution", "can you model the probability of observing a measurement with a distribution", "can you calculate probability of observation?", "how to calculate probability under a normal distribution", "which distribution of an observation gives probability of observing the measurement error", "how to find the probability under a normal distribution", "what is the probability for an empirical observation?", "how do i calculate probability of observation under a nonnormal distribution?", "how to model probability of observation", "what is the probability of observing a measurement with error under an empirical distribution", "how to find the distribution for quantile observation", "how to calculate probability of observation" ]

[ "how to find standard deviation in categorical distribution", "standard deviation example in categorical distribution", "how to find the standard deviation of categorical distribution", "how to find standard deviation from categorical", "how to find standard deviation in categorical distribution", "how to find the standard deviation in categorical distribution", "how to find standard deviation in categorical distribution", "how can i find the standard deviation in categorical distribution", "how to find the standard deviation in categorical distribution", "how to calculate the standard deviation for a categorical distribution", "how to find the standard deviation of a categorical distribution", "if a standard deviation is zero what is normal?", "how to find standard deviations", "what is standard deviation in categorical distribution", "how to find the deviation of categorical distribution", "how to find the standard deviation", "how to find the standard deviation of categorical distribution", "how to find standard deviation in categorical distribution", "how to find standard deviation", "how to find the standard deviation on categorical distributions" ]

[ "which statistical textbooks would explain why least squares regression fails when the data is heteroskedastic?", "why does least squares work if the data is heteroskedastic?", "why do least squares regression fail", "why does least squares regression fail when the data is heteroskedastic", "what textbooks to look at when calculating least squares", "why is least squares used in linear regression", "which statistical textbook would explain why linear least squares regression fails when data is normally distributed", "why is a linear least squares linear regression efficient", "why does ds regression fail", "what kind of data do linear least squares regressions use", "why does linear least squares fail?", "what does linear least squares mean vs heteroskedastic", "what type of relationship does least-sample linear regression fail", "what textbook would you use to study least squares", "why least squares regression fails", "which statistics textbooks would explain why linear least squares regression fails when data is normally distributed?", "why does least squares fail", "what does the term heteroskedastic mean", "why does least squares work", "why does a least squares equation fail" ]

[ "how many rows does a convolution function in a cell have?", "which equation to use to determine if a cell is convolution", "what is the formula for convolution", "f function excel definition", "convolution formula h", "what is convolution pixel", "what is the formula for convolution", "which statement of the formula is the same for the input of an image", "what is the pixel f of a picture", "what is the input of the convolution", "what is convolution in matlab", "which function is the output of a convolution operation?", "what is the function of convolution", "what is the formula for calculating convolution?", "how to figure out the result in matlab", "a formula is used to calculate the impulse response", "convolution function h formula", "convolution formula for a cell", "how to find the impulse response of an image", "how to calculate the result of a convolution operation" ]

[ "how do you explain a time series", "what is the term for a time series of a climate variable?", "how to explain a time series", "how to explain a time series", "how to regress population", "which term describes the relationship of time and climate?", "how to detrend time series", "why would a time series be correlated with a time series?", "how to explain a time series", "how do i explain the correlated nature of a time series", "what kind of explanation is needed to explain the relationship of the seasons, population, and climate?", "how to explain a time series", "how to explain a time series", "what is a conceptual time-series", "why would a time series be correlated", "why are the variables correlated", "how to explain a time series", "which time series is more observational or conceptual?", "what is the difference between population, climate, and time", "why is it not possible to explain the difference in population and climate" ]

[ "r interpret survival coefficients", "how to interpret survreg coefficient", "r interpret gaussian coefficient", "how to interpret coefficient in r", "how to interpret gaussian coefficient", "how to interpret the coefficient of survival in r", "which variable interprets coefficient in r", "how to interpret an independent variable r", "gaussian distribution definition", "how is the coefficient in Survreg calculated", "how to interpret coefficient gis", "r interpret coefficient from survreg", "how to interpret coefficient in r", "r gaussian coefficient", "how to interpret coefficient", "how to interpret coefficient in r", "what is survreg", "how to interpret a coefficient in r", "r interpret coefficient from survreg", "how to interpret a coefficient of r in survreg" ]

[ "weight condition time", "what type of curve is r", "what is anova in r", "what is the p value of lme r", "how do you test the difference between two conditions in time", "what is the p value for anova", "which of the following variables can be used to test the difference between two condition?", "weight condition time", "nlme how to measure a value in anova", "r. what is the p value of anova?", "nlme regression analysis in r", "how to test time point in anova in r", "how to test f value in r", "weight condition time", "nlme p value", "how to measure p value of anova in r", "what is the p value in r of nlme regression", "weight condition time", "nlme definition for anova", "what is the nlme regression" ]

[ "how to compare the unequal size of a sample to a normal", "what test to use for comparing two pairs of unequal samples based on the unequal size of the sample", "what is the comparison between unequal sizes of different samples", "how is a significant difference between a pair of unequal samples?", "how many pairs of unequal samples", "what is the relationship between the sample size x and y", "how does the value of x_1 compare to y_2", "how does unequal size of data work", "how to find the significance of the wilcoxon rank test", "which of the following is a wilcoxon rank sum test for the comparison between pairs of unequal samples of different sizes?", "how do you find the significant differences in two pairs of unequal size samples", "which test is performed for comparison of unequal samples?", "how to compare two sets of unequal samples of unequal size", "what is the difference between pairs of unequal samples", "when is the value of the sample equal", "how can you test the difference between unequal size samples?", "what size sample is comparable to an unequal pair of samples", "when comparing two pairs of unequal sample sizes wilcoxon rank sum", "how to tell if the t test is significantly different from the t test?", "why is it significant to find the difference between a pair of unequal samples" ]

[ "when to stop testing permutations on excel", "what is the stopping rule for permutation test", "stop rule for permutation", "what is stopping rule in permutation test", "which test has a stopping rule", "why would permutation test be stopped", "what is the stopping rule for permutation testing", "stopping rule example permutation test", "when using stop rule for permutation", "what is permutations stopping rule", "permutation testing stops rule", "why use pause rule for permutation test", "when to stop permutation test", "when does the stopping rule start for a permutation test", "why does permutation test stop?", "when is permutations tested", "when to stop permutation tests", "what is the rule stopping permutation testing", "why stop the permutation test", "what is stopping rule in permutation test" ]

[ "can you find latent variables in seven variables", "how do you find latent variables in rhizomatos", "how to find latent variable", "how to find latent variables", "how to do latent trait analysis", "what kind of variables can be used with latent trait analysis", "how to find latent variables tetrachoric correlation", "how many variables in latent trait analysis", "how to perform latent trait analysis", "what is the latent variable", "can i find latent variables using dichotomous variables?", "how to find latent variables", "how to find latent variable in spss", "which variable represents domains of functioning?", "how to find the latent variable of social behavior", "what is latent trait analysis in spss", "how to do factor analysis with dichotomous variables", "how to do latent trait analysis in a data set", "what variables are latent", "what is the purpose of a latent trait" ]

[ "how to find the confidence bands", "how to form a confidence band around a trend", "how to form a confidence band around a trend with data", "how to form confidence band in time series data", "when is the data for the trend put in the confidence range", "how to form a confidence band around a trend", "can you decompose time series to get confidence", "can a trend and confidence band be formed together", "how to form a confidence band around the trend", "how to form confidence bands from time series data", "how to form confidence bands in rpma", "what is the confidence range for a time series trend", "how to form a confidence band", "how do i form a confidence band around the trend", "how to form confidence band around trend fitted data", "how to form a confidence band", "how to form the confidence band of a trend", "how to form a confidence band around a trend", "can confidence bands be formed from trend data", "how to form confidence bands" ]

[ "what is the parameter of stable distribution", "what is the parameter fit for a stable distribution", "how to fit a stable distribution?", "what parameters are stable", "how do i find a stable distribution", "how are parameters of a stable distribution determined", "how do i fit variable distributions", "is fit a stable distribution", "what parameters are used to fit a stable distribution?", "what is stable distributions", "what is stable distribution", "what is stable distribution", "why does a stable distribution need a characteristic function", "stable distribution definition", "what is the problem of fitting the parameters of a stable distribution?", "what is stable distribution", "why is it important to fit parameters of a stable distribution for all data", "why fit the parameters of the stable distribution", "what is stable distribution", "which function is needed to fit parameters to a stable distribution?" ]

[ "how to extract daily vs yearly value", "what is the daily value for vegetation data", "how to extract daily values from a 16 day dataset throughout a year", "how to extract daily values from data", "how to obtain daily temperature data", "how to extract daily vegetation values", "how to extract daily temperature data for a year", "how to obtain daily values of vegetation observations data", "how do we extract daily values from observation data", "how to extract daily data from daily temperature data", "how to extract daily temperature and humidity data in a year", "how do you extract the daily data for a weather data set", "how to get a temperature daily", "how much days of data does vegetation observation data", "how to extract daily temperature data for plants", "how to extract daily data from weather data", "how to extract daily values from 16 day dataset", "how to extract daily values", "how do you extract daily values from vegetation data data", "how to extract daily values from vegetation data" ]

[ "when to use principal component analysis", "which variable is most correlated to the first principal component? brainly", "how to find which variable is the most correlated to the principal components?", "what is the first principal component analysis", "how do you find the relationship of the principal components of a genetic data set", "how to find which variables are most associated with the first principal component of a gene set in biology", "how to determine which factors are most closely correlated by the principal component?", "how to find which variables are most correlated with the first principal component for a gene array?", "which of the following can be a principal component", "how to check which variable is correlated with the first principal component of a gene", "what is the principal component of pca in genetics? quizlet", "which variables are most correlated to the primary principal component", "which of the following is an example of a principal component analysis? why is this important in the pca", "which pca is a first principal component", "pca principal component definition", "what is the principal component of a pca for gene set enrichment", "what are some principal components in pca", "how to find the pca of gene expression", "pca how to find which variables are more correlated ap", "what is the principal component of the analysis of genetics?" ]

[ "what is fuzzy", "fuzzy neurons", "fuzzy neurons", "what is fuzzy neuron?", "whats a fuzzy neuron", "what is fuzzy neuron", "what is fuzzy neuron", "what is a fuzzy neuron", "what is fuzzy neurons", "what is a fuzzy neuron?", "what is a fuzzy neuron", "what is fuzzed?", "what is the name of the fuzzy neuron", "what is the function of fuzzy neurons", "fuzzy neurons definition", "what is a fuzzy neuron", "what is a fuzzy neuron", "what does fuzzy mean in science", "what is fuzzy", "what is fuzzy neural network" ]

[ "when performing a permutation test on a matrix of correlations, which correlation value is significant?", "what is the correlation matrix used for", "what correlation is significant for permutation", "which correlation is significant? r", "what is the correlation matrix for r", "can permutations tests be performed on correlation matrix", "correlation analysis in r in a matrix", "which correlations are significant in r", "how to check correlation matrix in r", "which correlations are significant in r?", "r p value permutations", "which correlation in r is significant", "what is the correlation matrix in r", "what is r permutation?", "which correlation is significant", "what is correlation test in r", "what is a correlation matrix", "how to run permutation test on r correlation matrix", "how to do correlation test in r", "what is a permutation test" ]

[ "what are the assumptions used for regression", "what assumption is used in qq", "what are the assumptions of linear regression", "if we use a qq plot do we check the normality of the residuals on the linear regression?", "what is the general assumption of regression", "what is the assumption of a qq", "what is the assumption of regression", "what is the linear regression assumption", "which assumption is commonly used in logistic regression", "which statement represents the assumption of linear regression?", "what is the assumption of a linear regression", "what are the assumptions of regression?", "what is the assumption of linear regression?", "which of the following is the assumption used by logistic regression", "what are the assumptions to be tested in a linear regression", "what are the assumptions in linear regression", "what is the assumption in a linear regression", "what is the assumption of linear regression", "why use a qq plot", "which of the following is an example of a linear regression assumption?" ]

[ "which of the following variables has a distribution supported on $[0, 1]$", "which probability distribution has the following constraints?", "why is the probability distribution satisfying the constraints?", "which type of symmetry is satisfied by a distribution of a probability distribution?", "a probability distribution that has symmetry is", "which of these constraint statements is a useful measure of a probability distribution?", "which statement describes the probability distribution", "which of the following constraint conditions must never decrease the expectation of $xx?", "what is the math constraint in probability", "which of the following is a random distribution of probability?", "which constraint of the distribution does x$ satisfy", "which probability distribution has reflection symmetry", "sim> beta operatorname satisf", "how to find probability distributions", "which condition is met in the probability distribution?", "what constraints are used to specify a probability distribution?", "which probability distribution satisfies constraints?", "what constraint does the probability distribution have?", "what kind of constraints are there on a probability distribution?", "what kind of probability is $z$" ]

[ "what model to use for predicting variable", "what is the model of logistic regression?", "what is the model of logistic regression", "which model should be used to infer whether any of the two predictor variables influence my response variable?", "what models should you use to analyze statistics", "which model should i use to infer whether any of the?", "which models should i use in order to infer whether any of the two predictor variables influence my response variable", "what is the logistic regression model to infer that an effect on a response variable is", "what type of data do you need for logistic regression", "which model should i use", "which type of regression is used to determine whether any of the following variables influence the response variable", "what model should I use to infer whether any of the two predictor variables influence my response variable", "what is the correct model for logistic regression", "which is the correct model for logistic regression", "what is the logistic model for regression", "what model should i use when inferring whether any of the two predictor variables influence my response variable?", "what should you do in logistic regression", "logistic regression model is used when", "what model should I use to infer whether any of the two predictor variables influence the response variable", "what kind of logistic regression does normality use" ]

[ "how to determine if training is stopping", "when do you stop training when comparing two different neural networks", "how would you measure learning", "when is it ok to do early stopping", "how to predict early stopping in a training procedure", "when to use the validation set for a training experiment", "why is it possible to determine early stopping", "when can you do a 10-fold cross validation", "how to measure the performance of a training procedure", "why is it ok to use the same validation set for training", "how to measure learning epochs", "how to determine early stopping of learning", "what does the testing set do in cross validation", "when to use a 10-year cross validation set", "when to stop a training procedure", "when is it ok to stop testing", "when do you do early stopping in machine learning", "what is the validation set used for in an experiment", "how do you determine when a training procedure is stopping", "how is testing a model performed" ]

[ "what is the coefficient of variation in a data sort", "cv standard deviation", "how long does it take to obtain the mean of a sort", "how many times should a sorting procedure be run", "how to determine if the coefficient of variation for a c algorithm is good", "cv is what coefficient", "how to find the coefficient of variation", "how is coefficient of variation determined in a math experiment", "how do you get the coefficient of variance", "how do i find the coefficient of variation of a c++ sort?", "how many times do you run a sorting test", "how many times should an experiment be ran to get the same sdc?", "how many different sampling techniques for a sample", "how to use coefficient of variation", "how to compare standard deviation and coefficient of variation", "what is coefficient of variation", "how many times do you run the standard deviation", "how to compare the speed of a sorting technique to the speed of a standard deviation", "what's the coefficient of variation of a data sorting procedure", "how to compare cv" ]

[ "what is dpr weights", "how to add weights in logistic regression", "what to do if logistic regression is highly variable", "weights definition logistic regression", "how to add weights in logistic regression", "logistic cost function weights", "when you add weight in logistic regression do you have a negative output", "calculate the weights in a logistic regression", "calculating weight of logistic regression", "how do i weight the cost function", "logistic regression weights", "weights in logistic regression", "how is weighted logistic regression performed?", "logistic weighting", "what is the weighting function to cost function", "cost of logistic regression", "weighted linear regression equation", "what is the cost function in logistic regression", "why do some logistic regression classifiers have high average negative values?", "why do logistic regression weights always indicate positive results" ]

[ "which type of scale is used to measure compliance", "which scale is used for likert scores", "if likert scale is summative what is the appropriate value", "what is the summative likert scale?", "which type of likert scale is the most valid", "what is likert scale", "what is likert scale", "what is likert used for", "if likert is based on a summative likert scale, does it violate the assumption of unidimensionality?", "what is an IRT score", "which of the following measures the likert scale?", "what is the definition of likert scale", "what is a likert scale", "what is the likert scale", "which is a similarity test for likert", "what is likert", "what is the likert scale used for", "what is likert scale", "irt scale what is it", "what kind of scale should likert be combined with?" ]

[ "what is the benefit of detrending time series data?", "detrending time series", "how to detrend time series", "detrending data advantages and cons", "what is a good method of detrending data in time series", "how to detrend time series", "what is the disadvantage of different ways of detrending time series?", "what are the pro and cons of detrending time series", "disadvantages of detrending time series", "what is data trending", "what are the pros and cons of detrending time series", "detrending times", "what are the advantages and disadvantages of detrending time series data?", "detrending in time series data", "disadvantages of detrending time series", "what is the pros and cons of deleting a time series", "dts data detrending methods", "what are the advantages and disadvantages of time series data?", "logging detrending method vs analyzing time series", "what is the cons of detrending time series?" ]

[ "what is the best way to dealing with few instance of a regression", "support vector regression definition", "how often do you need to handle an instance", "what is support vector regression", "what is the optimal way of going about dealing with few instances in support vector regression", "support vector regression how many instances", "define support vector regression", "support vector regression definition examples", "what is the best way to go about dealing with few instances", "how to deal with some instances in regression", "what is the optimal way of dealing with few instance in support vector regression?", "what is the best way of dealing with few instances in support vector regression.", "how does regression handle few instances", "which regression model describes the ability to deal with a few instances of an object?", "how many instances are there in a vector regression", "what is the best way of going about dealing with few instances in support vector regression?", "what is support vector regression eg.", "what is the best way of going about dealing with few instances in support vector regression?", "how to deal with a few instances", "what is a little bit of support vector regression" ]

[ "if the coefficients are same for a random variable what is the effect?", "does a random random effect always produce the same coefficient", "can an effect be fixed or random", "can random effect be used as fixed effect", "which of the following will always be the same as a fixed inference?", "is the same as random effect", "do random random effects always produce the same result as fixed random effects?", "what is the difference between a random effect and a fixed effect in math", "does random effect produce same as fixed effect", "does random effect always produce the same results as fixed effect?", "does random effect always produce the same coefficient estimate as fixed effect?", "does random effect always produce the same coefficient of error as fixed effect", "which of these models will have exactly the same coefficient", "do random effect and fixed effect have equal effect", "does random effect always produce the same result as fixed effect", "does adding random effect produce the same as fixed effect", "can random effects always have the same effect as fixed", "what is the difference between random and fixed effects in statistics", "does random effect produce the same results", "what is the difference between a fixed and random effect" ]

[ "how to find out if random effect is affected by the variance", "how to estimate the coefficient of an unknown effect", "how would you add random effect to coefficients", "what is the probability of random effects", "how to find which random effect affects the coefficient of error", "which model shows how random effects influence the coefficients?", "how is coefficient estimation", "which effect affects the coefficient of variation", "random effect effect coefficients example", "what is the coefficient for random effects", "how does random effect influence coefficient", "which random effects have an effect on the coefficient of the mean?", "how random effects affect the coefficient of the model", "which model would include the effect on a random number", "how do random effect and error affect the coefficients", "how does random effect affect coefficients", "what is the coefficient of a variable that is the result of a random effect?", "what is the coefficient of a random variable m3", "what is the random effect on the coefficient", "random effect definition" ]

[ "logistic regression model", "logistic regression probability distribution model", "what is the cumulative probability for logistic regression", "how to calculate probabilities in logistic regression", "logistic regression model probability", "logistic model of probability", "how to calculate cumulative probabilities", "how are cumulative probabilities calculated", "what is the probability of a user being paid", "how to predict probabilities in logistic regression", "calculate logistic regression probabilities", "logistic regression how do i find the probabilities", "what is cumulative predicted probability in logistic regression", "logistic regression model of probability", "cumulative probability definition", "how to calculate probabilities in logistic regression model", "how to calculate probabilities in logistic regression", "which logistic regression model shows cumulative probability??", "how to model predicting probability", "how to calculate probability in logistic regression" ]

[ "what is meant by multiple testing in linear models", "what is the problem of multiple testing", "what is the underlying problem that produces multiple testing", "what is the definition of multiple testing", "what is multiple testing", "what is multiple testing", "what is multiple test", "why is it called multiple testing", "when does an issue of multiple testing occur?", "what is a model of multiple testing", "why would multiple testing occur", "how do multiple testing problems occur", "when do multiple testing occur", "how does multiple testing work", "what is multiple testing in a linear model?", "what is the multiple testing problem", "what is multiple testing", "what is multiple test", "what type of test would you run with multiple inference", "when does multiple testing occur" ]

[ "proof of mixed model", "how to proof a mixture model?", "what is the basic proof of a mixture model", "how to proof a mixture model", "proof based on a mixture model", "proof of a mixture model", "what is a proof of a mixture model", "proof of a mixture model", "proof of equation for mixture model", "proof for a model of mixture", "proof of a mixture model", "proof if a mixed model follows a distribution", "proof of a mixture model", "what is pg in math", "how to test a proof of a mixture", "proof of mixture model", "proof of a mixture model", "what is the proof of a mixture model", "which of the following is a base proof for a mixture model", "proof that x$ follows a distribution with probability $p$ and a distribution $g$ with probability" ]

[ "what is the meaning of using distributions for statistical inference?", "what is the meaning of using a distribution", "what is mean of using a distribution", "what is the purpose of a theoretical distribution", "when does theoretical data need analysis", "what is the meaning of using a distributions for statistical inference", "what is meant by a theoretical distribution", "how to use distribution in statistics", "what is the mean of distribution for inference statistics", "what is the meaning of using distributions for statistical inference quizlet", "statistical meaning of distribution", "define the concept of a theoretical distribution", "what is meant by using a distribution for analysis", "what is the meaning of using distributions and inferences?", "why do we use a distribution theory for statistical inference", "why do we use distributions in data science?", "what is the meaning of using a distribution for statistical inference?", "what is the meaning of using a theoretical distribution to do an inference?", "when can we draw a distribution", "how to infer a distributed distribution from a dataset" ]

[ "do you need p values adjustment for multiple analysis?", "why is p-value adjustment used in multiple analyses?", "do you adjust p values for multivariate analyses", "do p values in analya need to be adjusted", "can you adjust p value for multiple analyses", "when do i need p-value adjustment for analytes", "do you adjust p-value for multiple asovs", "when is p-value adjustment necessary", "p value adjustment multiple aNOVAs", "why use p-value adjustment in multiple analyses", "what type of analysis involves multiple aNOVAs on the same dataset?", "why do we need to adjust p values for multiple tests?", "do you need to adjust p value in analyte design", "why do i adjust p value?", "when does p value adjustment need to occur in an analytic design", "when does p-value adjustment need to be adjusted in analysis", "what is p value adjustment in analytes", "when to adjust the p value for multiple aNOVAs", "when do p values need to be adjusted for multiple asnovas", "do you adjust the p values in an aNOVA" ]

[ "what type of tests do you use when you have a complex sample", "how to analyze sample complex", "can you analyze a complex sample", "what kind of test is for a stratified sample?", "what to ask in analyzing a sample to understand the sample", "how to analyze a complex sample", "what is the analysis of the sample", "chi square analysis of a complex sample", "how many questions to analyze a complex sample", "what is the difference between an analysis and chi square?", "can i analyze a complex sample", "what is the biggest part of the analysis of a complex sample", "what test to use to analyze a complex sample", "what type of sample is included in the stratified sampling?", "what to look for in a complex sample", "what type of test do you use to analyze a complex sample", "how to analyze complex sample", "what is the sample analysis for a simple survey", "what type of test does complex sample have", "which type of data analysis is used in complex sample analysis" ]

[ "do greenhouse gooser test have multivariate", "do lambda sphericity estimates have to be df adjusted", "what is the sphericity assumed estimate", "can mauchly's assume sphericity", "do you assume sphericity for lambda", "which condition is assumed when assuming sphericity", "what test assumes sphericity", "when do you use the lambda sphericity assumed in aNOVA", "what tests are used to determine the sphericity", "does lambda assume sphericity", "which test assumes greenhouse geiser", "what tests should be done for sphericity of estimates", "what test is performed to test sphericity", "which is the best estimate for an sphericity assumed statistic", "what is considered spherical", "which statistic would assume sphericity", "what is the appropriate method for assuming sphericity in analyte?", "does lambda assume sphericity", "when using lambda does df need to be used?", "why assuming sphericity is overconfident" ]

[ "what differentiates a population risk model from an individual risk model?", "what is population risk model", "what is the difference between individual and population risk models?", "what is the difference between a risk model, risk stratified and an individual risk model", "why is population risk model better compared to individual risk model?", "what is the difference between a population risk model and an individual risk model", "population risk and individual risk models", "what is the difference between a patient risk model and a population risk model?", "why should i use population model vs individual model", "what is the differences between a population risk and individual risk model", "avg difference between population risk and individual risk", "what is the difference between an individual risk and a population risk model?", "what differentiates populations risk models from individual risk models?", "which model is the more accurate", "difference between a risk model and a population model", "what is the difference between a risk model and a population risk model?", "what is the difference between a population risk model and an individual risk model", "what is the difference between a risk model and an individual risk model?", "what does risk mean in a population risk model", "what distinguishes a risk model from an individual risk model?" ]

[ "what is the standard deviation (sd) mean of cardiac surgery", "what is normal deviation for cardiac exercise after procedure", "what is the standard deviation of a normal cardiac patient", "how do we determine whether patient exercise regularly", "when can s-d be used to estimate the number of weeks of exercise for patients", "what is the standard deviation in the number of weeks cardiac surgery", "how to calculate a sample of patients who exercise after heart surgery", "how to determine the average number of days a patient is supposed to exercise following a heart operation?", "which is the correct standard deviation in the number of weeks a patient exercises regularly following cardiac surgery?", "what is the probability of the sample mean being higher than the normal mean", "how long should you workout after cardiac surgery", "how to predict the number of weeks you should exercise after cardiac surgery.", "what is the normal deviation of a standard deviation of cardiac patients exercise", "what is normal range for a patient after cardiac surgery", "how many days of exercise does a patient have following cardiac surgery", "how many weeks should you exercise before cardiac surgery", "how to calculate normal deviation for heart exercise following cardiac surgery?", "how to estimate the frequency of exercise after cardiac surgery", "how to find the standard deviation of the cardiac patient", "how long do you be exercised regularly after cardiac surgery" ]

[ "what to use for the overdispersed polynomial distribution?", "how to find the absolute variance of an overdispersed poisson", "is lambda a negative binomial distribution", "how to find overdispersed poisson", "why is the distribution of lambda pois a negative binomial", "which of the following is a negative binomial", "how do you prove a negative binomial distribution", "how to find the variance of a overdispersed poisson", "does gamma have a negative binomial distribution", "how to prove that a distribution is an overdispersed poisson", "how to prove that the distribution of an rv is a binomial", "can you find the absolute variance of an overdispersed probability distribution", "can you use a binomial distribution to prove a negative distribution", "how to use the law of total variance to prove an overdispersed probability", "when can you solve a problem with a negative binomial?", "if the distribution is a negative gamma, why is it used?", "what would the use of the law of total variance as a negative binomial in an overdispersed poisson", "which of the following is an example of a negative binomial?", "what is the inverse of binomial", "which law can be used to prove that an overdispersed probability distribution is positive" ]

[ "what is the difference between true and false relative function convergence", "what does false convergence mean for a mclean li test", "what does relative convergence mean", "what does relative convergence mean in mclad", "when you fit results, sometimes it says false convergence and sometimes relative function convergence", "mclean li analysis nprdx", "what is mcloed/li test mean?", "how to interpret garch results", "what the mcleod li test results mean", "what is the mclean fit test results", "what is the value for mcleod li", "mcleod li test interpretation and interpretation", "what is relative function convergence", "mcleod-li fitting results", "what is mcleod-li test", "what is mcleod-li test", "what does the garch result mean", "when it says relative function convergence", "what does the garch test mean", "what is the correlation with mcleod-li test" ]

[ "how to rank objects using frequencies", "how to get a frequency range", "how to fit frequency distribution", "which distribution best fit", "what is the distribution of frequencies", "what is the frequency of a distribution?", "why do you weight frequency and symmetry to rank the prominence of a given object", "can you measure frequency in a distribution", "how to rank objects based on frequency", "how do you fit the distribution of frequency", "which distribution would be based on frequency", "how to weight a frequency distribution", "how to fit a distribution for frequency", "fit the distribution of frequency", "which distribution best fit", "fit distribution for frequency", "if a distribution for frequency is weighted a number is", "frequency distribution in r", "what is an example of an equation for frequency", "how is frequency measured" ]

[ "why mle function in r not working", "what parameters are included in the mle function", "how many parameters in mle", "r function for mle", "what does mge mean in stats", "how to find the posterior value of the mle in stats4", "r how to calculate mle", "how to estimate the posterior of a joint", "if any parameters in r function are negative what is log posterior", "what is the parameter r mle", "why use mle in stats 4", "how to calculate mle function in r", "what parameters do mle function return", "why does mle function do not have the posterior", "how to use mle in stats4", "mle function in r", "r what is mle", "what does mle function do?", "how do you use mle", "how to use mle in stats 4" ]

[ "what is the sample mean", "what is the expected value of a random iid sample", "how to overline random data", "what is the sample mean in the population", "what is sample mean on an experiment", "which is the sample mean?", "how to overline a sample mean", "what is the sample mean of population mean", "how to overline random samples", "what is the sample mean of a random observation", "what is overline mean", "sample mean definition", "what is the population mean for an observation", "theta mean in population mean of population mean", "how to get a sample mean in the sample mean", "what is the expected value of an observation from a population", "what is population mean in population mean", "what is the sampling mean for sample", "what is the population mean mean", "what is the sample mean of the population mean?" ]

[ "maximum likely estimation technique", "what is mle estimate", "what is the purpose of the mle measure", "what is the mle estimation technique", "how do i use mle to find parameters", "how to determine mle model", "what is mle?", "which measure is mle?", "what is the mle of an o2", "what is the measure mle", "how is mle calculated", "how to obtain mle measure", "how to find mle for an arm model", "what is mle in calculating parameters", "what is the method used by MLE in estimating model parameters", "how to find parameters in a regressive linear model", "why use mle", "what are parameter estimation methods", "average likelihood estimate", "what is the measure mle for" ]

[ "loss function in regression", "average loss formula for linear regression", "what is the loss in a linear regression?", "what is the loss function in linear regression for t", "how to find the loss function in regression", "average linear regression loss", "which is an example of a loss function", "linear regression loss function", "what is the loss function for regression", "how to calculate average loss in regression equation?", "loss function for regression", "how to calculate average linear regression loss in linear regression", "what is the loss function for a linear regression", "how is expected loss of regression linear regression", "linear regression loss function", "what is the loss function for linear regression?", "how to find the loss function from linear regression", "what is the loss for a linear regression", "what is the loss function for regression math", "what is linear regression loss function" ]

[ "can you use correlation and normalization together", "when to use a normalized mean in anova", "what variables do you normalize following anova", "when can a normalized value be used as a covariate?", "does ananovka normalize", "why would you use an anova for regression analysis", "what type of models do you use with normalized values", "can you normalize a range after anova?", "can an anova be used for correlation analysis?", "does an anovova normalize the data?", "when is normalized value used in regression analysis", "can anova be used for regression analysis", "can i use a normalized range after anova", "can you normalize a nova value", "why don't you use anova for regression analysis", "can you normalize an anova?", "why do we need a normalization for anova", "can you use anova to normalize", "when to use anova and normalization", "can you do an anva for a normalized cd" ]

[ "why would you compare a feature density function for a class", "what is the difference between density and feature", "what is the density of the feature for a particular feature? cdot", "how to compare density of a feature", "how to calculate densities between features", "which class is the most likely class for the feature in a given observation?", "density of a feature in excel", "why do we compare densities of features for different classes", "which of the following features has a feature density function?", "what is the function p in a feature class", "difference between density function and feature density", "which class is the feature", "why the density function is used in comparing a feature to a class", "which feature is irrelevant to one class", "which feature is used for a class", "what is the density function of a feature", "which class is best for comparing densities of the feature?", "how can a feature be compared in different classes", "why do we compare densities in class", "why is density function important for features" ]

[ "why does random seeding affect the linear regression?", "what is the function for alpha in glmnet", "how to find the alpha and delta in a binomial regression", "which glm parameter is used to predict the best distribution of the elastic net", "why does random seed vs. elastic net differ", "what is the alpha in glmnet", "where does alpha= change in the random seeding of the elastic net", "what type of function is used to check the quality of an elastic net", "which parameter changes when random seeding", "which random seed enables me to find the alpha of a glm model", "what is the random seed for a binomial regression?", "what is the function for the alpha in glmnet?", "what is the parameter for the elastic net", "which type of net has inferential properties, which is stronger, or less, the lowest prediction error score", "what is the function of elastic net", "what is the alpha of the elastic net in regression", "what is the alpha of elastic net", "what is the function for the elastic net", "when does the alpha change in an elastic net", "what does random seeding do for an elastic net?" ]

[ "what is the effect rate on the dummy variable in econometrics", "when to use a multiplicative dummy", "why use dummies in econ", "how does a multiplicative variable work", "what is the effect of the dummy variable on pass rates", "what is the function of additive error", "dummies definition algebra", "why do we use a dummy in math", "how to model pass rates econometrically", "which term describes an additive error term", "what is multiplicative dummies", "is it possible to use a dummy variable for pass rate", "what is the effect of dummies on pass rates", "how to use multiplicative variable", "what is a dummy variable used for", "what is the multiplicative effect on y", "how do you estimate the effect of multiplicative variables in econometrics", "which variable in a model is a multiplicative variable", "what is the dummy variable for pass rate", "what is meant by multiplicative variable in econometrics" ]

[ "how to group sequential data in r", "how to group sequential numbers in r", "when to group numbers in r", "how do you group sequential numbers in r", "how to group the values of numbers in r", "which statement describes sequential logical grouping", "which number would be put into an example sequentially in r", "how to group sequential numbers in excel", "what is the definition of sequential values in r", "r how to group sequential values", "i have a list of numbers I need to group by similarity between each.", "how to group sequential number", "why use sequential groups", "what is the definition of group in r", "when grouping numerical numbers in r what does similarity mean", "example of sequential value", "how is the sequence of a number grouped in r", "how to group sequential numbers in r", "combining sequential numbers in r", "when putting sequential numbers in r" ]

[ "when the outcome age is", "when do you overestimate ols results", "how to correct an overestimate in an OLS model", "what age should ols predictions be", "do you make a prediction based on a residual plot", "when do you use a residual loes curve", "when interpreting residual plot", "if i predict the outcome to be 12, I most likely overestimate the years of eduction?", "when do i overestimate the years of eduction", "do you over estimate years of eduction", "how to predict an outcome age", "how do you calculate ols results", "can you predict a age of outcome", "what is a ollis model", "why is residual plot wrong for outcome", "when is ols correctly modeled", "can i overestimate a residual plot in an ols", "what is the residual plot for an OLS", "which variable is used when the predicted outcome is 12 years", "ols definition regression" ]

[ "how to compare accuracy of a measurement", "what is the statistical tool used to measure the energy use of a room", "what is the statistical tool used to compare and contrast a measurement campaign with team a?", "how many rooms is a team b measured in?", "how to measure the energy in a room", "what statistical tool do i use to compare the performance of two teams measuring many variables once?", "how accurate is a measure of energy", "how do you compare the performance of two teams measuring many variables once", "how to compare a measurement campaign to team b", "what is the standard for comparing a measurement campaign?", "what is the measurement campaign for team b", "how many magnitudes does team a measure", "what statistical tool is best suited for comparing the performance of two teams measuring many variables once", "what is the average energy consumption for each room", "how to compare the accuracy of a measurement campaign using a standard distribution?", "how can energy energy be calculated", "how to compare the r_coefficient and the estimated_energy of each team", "team a measures what", "what statistical tools should be used when evaluating an average temperature room?", "how are energy values determined" ]

[ "descriptive statistics mean std", "what is the spss descriptive statistics mean std mean deviations", "what is the descriptive data in spss", "descriptive statistics input", "how does descriptive statistics work in spss", "what is meant by the mean std of m1mi", "what is the input of a descriptive statistics table in spss?", "what is the msd in sposs", "what is the input to a descriptive statistic in spss", "what is an spss indicator used for", "what is the input for spss", "what is the mean std deviation m1mi", "what is the input for a spss repeated measures aNOVA", "what is the input for a spss ANOVA using descriptive data", "what is the spss mean std deviation", "which statistic is used in a spss aNOVA?", "which statistic is used for statistics in spss", "if you use descriptive statistics in spss what does it mean?", "descriptive statistic mean deviation", "what is descriptive statistics means in spss" ]

[ "what is conditional distribution on an independent variable", "when the conditional distribution of a sample is conditional what is the value that it represents", "conditional distribution for iid sampling", "what is the conditional distribution of $u(x_1)", "what is conditional distribution of x-", "what is normal distribution for sample variance", "what is the conditional distribution for a non normally distributed random variable", "what is the conditional distribution of $x_1", "what is the conditional distribution of $x_1$", "which conditional distribution is used for the conditional distribution of x_1 of sigma", "if the conditional distribution can be simplified, what is the conditional distribution of $x_1$ for $us", "what is the conditional distribution for the variable e?", "is sample variance normally distributed?", "why does the conditional distribution of x_1$ need to be simplified to be useful for students theorem", "if conditional distribution does not include normal distribution", "conditional distributions for normally distributed random variables", "what is the conditional distribution of x_1 for an iid sample", "when the sample variance is independent what is the conditional distribution of $x_1?", "what is the conditional distribution of $x_1", "is sample mean an independent variable" ]

[ "how do you find a discrete feature from a regression analysis?", "what is a feature used for", "how to predict a discrete feature in regression", "how to predict a discrete feature in a data set", "how can i predict discrete features using regression?", "what is the statistical model for discrete feature", "how to predict a discrete feature using regression model", "what is the logistic regression for discrete features", "how to predict discrete feature using regression analysis", "how to predict discrete feature using logistic regression", "how to predict discrete feature using regression", "how to predict features in data", "how do you use regression model to predict a feature?", "predict discrete features using regression", "why is logistic regression used to predict features", "how to predict discrete feature", "how to predict discrete features", "how to predict discrete features", "how to predict a discrete feature in a regression", "how to predict discrete features" ]

[ "what does semivariance tell me", "what does semivariance tell me", "what does the semi-variance tell me", "what does the semivariance tell me about a range", "what does semivariance tell me", "what does the semivariance tell me", "what does the semivariance tell me about the relationship between distance and semivariance?", "what does the semivariance tell me?", "what does the semivariance tell me", "what does semivariance tell me?", "what is the semivariance", "what does the semivariance tell me", "what does a semivariate tell me about distance", "what does semivariance tell me about the distance?", "how does semivariance work", "what does a semivariance tell you about distance", "what does a semivariance tell me", "what does semivariance tell me?", "what does semivariance tell you about range", "what does the semivariance tell me?" ]

[ "how to estimate how many visits a year", "how many times does it take to get repeat visits to a market", "how to determine repeat visitors", "how to estimate how many times a year to a farmers market", "what is the percentage of visits from people visiting the farmers market once twice thrice", "how to estimate number of visits to a farmers market", "how do we estimate the number of visits for farmers markets", "how do you figure repeat shoppers", "what percentage of visits are random", "what is the percentage of visits a person can visit once", "how do i estimate how much people visit the farmers market", "what is the percent of visits that are sampled once twice from multiple visits?", "what is the percentage of visits from people who only visited once?", "sampled visits to farmers market", "how to find repeat visitors in a market", "how to estimate how many people visit a farmers market in one visit", "why sample a market once", "how to use random sampling on repeat visits", "how to estimate repeat shoppers", "how much visits per visit to farmers market" ]

[ "does version control require seed", "why is version control useful", "when do you use random seed", "when do you set a seed for each new file in r", "what's the problem if I set seed before each code block", "can you use version control to create seeding", "why can't you replicate code after you draw numbers", "when to set seed in r in code", "can i set a seed before each block", "how to set seed after python r", "can r seed be used on every draw", "why do i need to set a seed in r", "when to put seed r", "can i set seed before each code block in r", "when can you run r on seed", "why do code blocks draw random numbers?", "what is the purpose of a seed in r", "can you set seed before every code block", "if you update r does seed change", "can i set seed after code" ]

[ "what is the probability of a competitor winning?", "how to calculate probability of winning a race", "how to calculate competitor's probability", "what is the probability of win given a competition pair analysis", "what is p(cy win) for race analysis", "what is cy in probability", "how to figure out probability of winning given competitive analysis", "average probability of competitor winning", "what's the probability of competitor win", "how do you determine the probability of winning", "what is the probability of a competitor winning a game", "how to determine a racially competitive advantage", "how to find probability of winning given competition analysis", "how to find probability of winning on competition test", "how to find the probability of a competitor winning", "when calculating the probability of a competitor winning", "what is the probability of a competitor winning", "how do you calculate a competitor's win probability", "how to calculate the probability of a competitor winning", "what is the probability of any given competitor winning the race?" ]

[ "can a gene analysis be performed in r", "how to perform diallel analysis", "what is diallel analysis in r", "what is diallel analysis in r", "which is an example of diallel analysis in r", "what is griffing and hayman", "what is diallel analysis", "what is diallel analysis", "how to do diallel analysis", "which r model is used for differential analysis", "which approach is used to perform a diallel analysis?", "what's a diallel analysis", "what is diallel analysis in r", "what kind of analysis is griffin and hayman r", "how to perform diallel analysis", "what is diallel analysis in r", "what is diallel analysis used for in r?", "how to perform diallel analysis in genetics", "what is diallel analysis in r", "which approach is used in the diallel analysis?" ]

[ "machine learning how to learn", "how to train a machine learn", "machine learning detection", "how to make automatic bot detection", "how to use r for bot detection", "how many categories to train a bot detection algorithm", "how do you train a machine learning algorithm for bot detection", "what machine learning algorithm should be used for bot detection?", "how many categories do we train our bot detection algorithm", "what kind of algorithm should be used when predicting bot activity?", "how many categories of categories to train an algorithm", "can a python algorithm be used for bot detection in c++", "how to do a bot detection", "how to get robots to detect", "can you train machine learning algorithms with statistics", "how big should a training set be?", "what kind of algorithm do you need for bot detection", "how many categories must a machine learn", "how many categories should a machine learner train", "how big should a training set be?" ]

[ "linear reconstruction with regularization parametric estimate", "cost function for linear regression", "what is the regularization parameter of a linear regression", "cost function vs regularization", "average linear regression parameter estimation", "regression regularization parameter definition", "what is the parameter estimate for linear regression", "how to estimate parameters linear regression", "what is the parameter estimate of a linear regression", "cost function estimate", "what is normalization function of delta", "parametric estimation for linear regression", "which t parameter minimizes the given linear regression function in linear regression", "how to figure out the parameters of a linear regression", "average parameter for linear regression", "average value of the lra", "how to estimate a parameter in logistic regression", "average linear regression with regularization parameters", "what is the parameter for linear regression", "average parameter estimate for linear regression" ]

[ "how much class in dataset svm", "what is an example of a classification dataset", "what is the best svm dataset", "what is the best svm class boundary for class boundary classifying data", "what is the best example of a classification dataset", "how many continuous classes in class boundary dataset", "what is the class boundary of classification dataset", "how many variables in classification dataset", "what is the best dataset for classification?", "which type of classification is an example of a dataset?", "what is a good classification dataset", "what is svm in dataset", "which classification dataset can svm be used in", "what class boundaries need an svm", "what is the best dataset to use for a classification problem", "what is the classification dataset", "how many continuous variables are in a classification dataset", "what is an example of a dataset", "what is the best dataset to use for classification", "what is a good example of a class dataset" ]

[ "can you compare two experiences to one another in a logistic regression model", "can i compare a dummy to a dummy in logistic regression", "can i compare the two ivs in a logistic regression model", "how much does one type of abuse increase the odds of depression", "why is one experience dummy and the other experience dummy", "can you compare multiple variables in a logistic regression model", "how to make comparisons between model in psychology", "what is the best method to compare multiple logistic regression models", "can you compare iv to dummy", "comparing iv to dummy model", "how do you compare two experiences to one another", "how to compare data across different logistic regression models", "how to compare dummy variables", "dummy model how many iv", "does one type of physical abuse increase the odds of depression than anxiety and/or ptsd", "what is the dummy in regression model", "if two experiences are the same how many can you compare", "what is dummy iv based on", "can we compare iv to dummy", "when comparing two dummy variables, what is the best method" ]

[ "if the trend lines don't fit, which coefficient", "what makes trend lines not fit data", "when the trend line doesn't fit the data what is the value", "does the trend line not fit the data", "do trend lines fit", "what does the trend line not fit mean in r", "what does the trend line not fit on", "what type of graph does trend line not fit", "does a trend line not fit the data", "does the trend line not fit the data", "why trend line doesn't fit the data", "why does r std error mean that trend line does not fit", "how to do a scatterplot on r with a trend line", "why is a trendline not fitting the data in r", "what is the standard error of a trend line in r", "why does a trend line not fit", "what is the standard error of using a trend line", "what does trendline mean", "what is the difference between trend line and scatterplot", "what is the error on trend in r" ]

[ "what is the paired test in matlab", "how to test for three permutations", "how many samples for three permutations", "what is paired permutations matlab", "what permutation test is used on 3 samples?", "how many samples of permutation are paired", "what test to use for paired permutations", "what test is used to determine paired permutations?", "is matlab permutation test paired?", "can you do a paired permutation for three samples with Matlab", "can paired permutations be performed in matlab", "when using paired permutation test in matlab what test type is this used?", "can you do paired permutations in matlab", "what tests can use paired permutations", "which tests require three samples", "how many samples are in a paired test", "what is paired permutation test", "what are permutations for matlab test", "how do you test three samples of each permutation", "how many samples are permutations on matlab" ]

[ "which random variable should be negatively correlated with the variable e?", "bernoulli distribution vs continuous variable", "how to create a bernoulli model in r", "how to produce highly correlated random variables", "r generates random variables correlated", "bernoulli correlation example", "how to create a berneulli variable", "which r variable must be negative or positive correlated", "is a bernoulli variable a dependent variable", "how does a bernoulli variable get correlated in r", "can a bernoulli model be a _______ variable", "how to generate random variables", "how to generate a correlation", "when to generate a berneulli-type variable", "how to generate correlated random variables", "how to generate a bernoulli distribution", "how to create a correlated variable", "bernoulli distribution model", "how to generate correlated random variable", "how do you generate a karlsberger variable?" ]

[ "can i use a logit model for more than one event", "how do you construct logit", "which data set would be best for a logit model", "why do i use a logit model when a subject undergoes a similar event", "what is the function of logit for data", "how to create an aggregate logit model", "what is the logit model", "which data type is used in an aggregate logit?", "how to set up a logit model", "how to set up logit model", "how to set up a logit data", "which of the following is not a good model to use with a logit model?", "how to set up a logit model", "how to use logit for statistics", "how to fit a logit model", "what is the logit function", "what is logit statistics", "how do you set up a logit model for an event", "what are the three outcomes of logit", "do subjects get another event within 3 days of each other" ]

[ "which package to use to train elastic net model in matlab", "what is the glmnet package in matlab", "how to use glmnet in matlab", "does matlab use glmnet", "does matlab use glmnet", "does matlab use glmnet", "why not use glmnet", "what is glmnet in matlab", "glmnet in MATLAB", "what is glmnet math", "what package to use for net models in matlab", "can i use a glmnet in matlab", "what is glmnet? matlab", "what package is glmnet used for in matlab", "what is glmnet in matlab", "glmnet matlab how to use", "what is the use of lsglmnet", "what package is glmnet in matlab", "glmnet matlab", "when to use glmnet matlab" ]

[ "why do you need a noisy observation for bayesian", "how to find a Bayesian distribution", "why use gaussian noise", "which noise is independent of observation", "what is the gaussian noise used for in a Bayesian experiment?", "how to update the bayesian noise", "what is noise independent of bayesian", "when do you need noise to be inference", "what is the Bayesian noise", "how to find the noise of a brownian object", "if the noise from n is linear, what are the n$ observations?", "what is the noise limit of the Bayesian algorithm", "why is Bayesian noise noisy", "when do gaussian noises occur", "when gaussian noise is noisy,", "what is the noise in bayesian", "why is noise independent of time", "where does bayesian noise start", "when the probability of a probability is used as an inference, the noise is independent of the observation to observation of the motion of the object.", "how to find noise in the bayesian process" ]

[ "what is winbugs error with zero values", "why is there an error with zero", "which function can be used to specify the binomial value of a binomial distribution", "what's the error when your model has zero values", "winbug error for zero value", "when value of order of binomial in winbags is zero", "winbags error with zero", "when a value of order of a binomial distribution is zero then this error message appears", "winbugs error with zero values in binomial distribution", "if there is only zero value, why does winbugs have an error", "winbugs error with zero values in binomial distribution", "excel error with zero values in binomial distribution", "what is the value of order in binomial distribution", "what is the error code in winbags with zero values", "which binomial distribution does winbus have", "winbus error with zero values in binomial", "winbuggs x number of rows", "what is the error when value of order of binomial numbers is zero?", "what is the error in the winbugs", "what is the javascript error when binomial distribution is zero" ]

[ "what is the all purpose estimate in statistics?", "what is the all purpose sample entropy", "what is the sampling entropy", "when estimating entropy for discrete random variable", "what model do you use to compute entropy", "how is the entomity estimation used", "what is the purpose of all purpose sample entropy", "what is the purpose of the entropy model", "which method is used to calculate the entropy of the discrete random variable?", "how is sample length calculated?", "what is the entropy in all purpose analysis?", "how is entropy estimated", "which variable has the lowest entropy?", "what is the purpose of average entropy?", "what is the use of an all purpose sample estimator", "what is the entropy of an all purpose sampling", "what is the inverse of entropy of the random variable", "where is the sample entropy value", "what is the purpose of entropy estimator", "what is the sample size of an all purpose estimate" ]

[ "if i combine all the variable with one independent variable, how do i run ordinal logistic regression", "if you combine two dependent and four continuous variables does a linear regression work", "can i have a multiple dependent variable in a logistic regression", "how do i reduce the dependent variables in spss", "which variable will be combined in the order of the dependent variables of each type of spss model? olr", "when is an ordinal logistic regression used?", "can the independent and dependent variables be recoded and combined in a linear logistic regression", "how is ordinal logistic regression reducing the number of dependent variables", "how many variables are included in an ordinal logistic regression?", "how many variables does ordinal logistic regression combine?", "how to reduce dependent variable in ptr regression with spss", "when do you use categorical principal in logistic regression", "can you use a categorical principle to reduce the dependent variable", "is ordinal logistic regression continuous", "why do i need to reduce the independent variable for an ordinal logistic", "can i use a single categorical variable instead of multiple dependent variables in a logistic regression", "can an individual variable be a dependent variable or an outcome variable", "why not use ordinal logistic regression", "what is the difference between ordinal and logistic regression", "which is better to reduce the dv and combine the dependent variables in an OLR" ]

[ "what is residual norms", "what is norm of residuals", "what is a norm residual", "difference between norm of residuals and good norm", "what is the difference between a norm of residuals and a good norm?", "what is the norm residual in a linear fit", "what is norm residual", "what is norm of residuals", "residual norms meaning", "what is normal residual", "what is residual norm", "what is the norm of residuals", "what is norm of residuals", "what is the difference between norm of residuals and acceptable norm of residuals?", "what does norm of residual mean in a linear fit?", "what is norm of residuals in fit", "what is the norm of residual", "what is norm of residual", "what is norm of residual for regression", "norm of residual vs good" ]

[ "what is the null hypothesis", "what are the different theories of hypothesis", "when writing null hypothesis how to explain", "what is the null hypothesis for a website", "what should be the hypothesis for this null hypothesis", "null hypothesis with multiple equally important hypothesis answers", "which hypothesis would be the null hypothesis?", "when to put null hypothesis in null hypothesis", "what type of hypothesis is null hypothesis", "what to do with null hypothesis hypothesis", "what is null hypothesis hypothesis", "what is the null hypothesis on a math term", "how to give a null hypothesis", "when to use null hypothesis vs an alternative hypothesis", "why null hypothesis and alternative hypothesis", "how do you find the null hypothesis of an experiment?", "null hypothesis hypothesis", "what is null hypothesis hypothesis", "null hypothesis with multiple equally important hypothesis", "how to find null hypothesis" ]

[ "why does arimax create xreg", "what is singletonity in arimax", "what model cannot be used to fit arimax", "arimax model singularity", "what model has a singularity error", "what model has singularity", "arimax model single and could not compute qr decomposition of hessian", "when do i apply a parametric model?", "which arimax model would not have a single unit of measure and could not compute a hessian decomposition", "can arimax be single-dimensional", "can arimax model compute hessian function", "what is singularity of arimax model", "arimax model single-ordering", "arimax model singularity", "does arimax apply singularity", "cannot compute qr decomposition", "what model is used to calculate single order hessian?", "can arimax model use xreg", "what model would arimax use", "arimax error single and could not compute qr decomposition of hessian" ]

[ "can an organisational change be performed in a post hoc study", "can a post-hoc test be performed in a two-way spss", "when to use a post hoc", "can post hoc tests be done on multiple factors", "when to use post-hoc in spss analysis", "what is phoc in analyzing data", "can a post hoc test be performed in two-way anay", "can you do a post-hoc test in a spss", "can an organisation run a post hoc analysis with multiple factors? quizlet", "what kind of aNOVA can be performed with a more than one factor", "when do you use a post hoc test", "can you do an ova post hoc", "can aposthoc testing be done in spss", "which factor has not equal variance", "which factor does a post hoc test have", "when does the spss two way analysis use equal variance", "what test can be performed for two way analysis of variance", "can we do hoc in spss", "can you perform post hoc", "can you perform posthoc analysis when combining multiple factors?" ]