Datasets:

income

/

cqadupstack-stats-top-20-gen-queries

like 0

Follow

INCOME 2

[ "which way to pad a matrix", "how long does the matrix need to be to pad", "how to pad a stock matrix in matlab", "how to pad a time series in matlab", "how to pad a regular matrix", "how to pad in matlab", "how to use pad in math", "why pad a matrix in matlab", "why do we pad a time series matrix", "how many rows should a regular matrix contain", "how to pad a matrix in matlab", "how to make a matrix based on time series", "how to pad in matrix with nan", "how many columns are in a matrix", "why do i need to pad a matrix", "how to calculate the correlation matrix in math", "how to find correlation matrix in matlab", "how to pad a time series of stocks", "how to pad a matrix in matlab", "how to find correlation matrix msn" ]

[ "convert rate on facebook", "how is conversion rate figured out? why", "which is the conversion rate in social media", "what is the conversion rate on facebook", "what is conversion rate on post", "how to find the conversion rate of a post on facebook", "what is the conversion rate of a shared post?", "what's conversion rate", "what is conversion rate of facebook share?", "convert rate definition in social media", "convert facebook share to page share rate", "what is conversion rate", "convert rate on facebook", "how to find conversion rate", "what's the conversion rate on facebook", "what is my conversion rate on share on facebook?", "what is the conversion rate for share", "convert percentage", "what is the conversion rate of a post on facebook", "what is the conversion rate of a share" ]

[ "how to split data into training and testing", "what is the best way to analyze data", "which statistical approach is the correct method", "how to split data", "how to find patterns in neuroimaging data", "is split data set a good idea", "which approach would you use to find relationships between different variables in a neuroimaging dataset?", "what is the best method of finding brain connections", "how to analyze neuroimaging data", "types of data mining techniques", "how to split data into testing sets", "how to analyze neuroimaging data", "what is the best method of data mining?", "why are the data sets useful", "what is the correct way to split a data set", "which method should you use for studying the brain data?", "different ways to analyze large datasets", "what is the correct way to use data mining", "what are the best ways to analyse neuroimaging data", "what are the best tools for finding neural patterns" ]

[ "differences ai and data mining", "what is the difference between data mining, statistics, machine learning and aai", "what is the difference between statistics, data mining, and machine learning?", "what is the difference between data mining and machine learning", "what is the difference between data mining and statistics?", "difference between data mining and analytics", "what is data mining machine learning", "what is the difference between data mining stats machine learning ai", "how do they differ between ai and data mining", "what is the difference between data mining and statistics?", "what is the difference between data mining and machine learning", "what is the difference between ai and data mining", "what is the difference between data mining and statistics", "difference between statistics and data mining", "what is the difference between data mining, statistics, machine learning, and ai", "what is the difference between data mining and statistics", "what is the difference between data mining, statistics, machine learning and ai?", "difference between data mining and analytics", "what is the difference between statistics, data mining, and machine learning?", "what is the difference between data mining, statistics, and machine learning?" ]

[ "the relationship between machine learning, data mining, and statistical analysis?", "what is the relationship between machine learning and data mining", "what is the relationship between computer science, machine learning, data mining, and statistical analysis?", "what is the relationship between data mining and machine learning?", "difference between data mining and machine learning", "what is relationship between machine learning and data mining?", "what is the relationship between analytics and machine learning", "what is the relationship between machine learning, data mining and statistical analysis", "what is the relationship between machine learning, data mining, and statistical analyses?", "what is the relationship between machine learning, data mining, and statistical analysis?", "what's the difference between data mining and machine learning?", "difference between data mining and machine learning", "what is the relationship between machine learning, data mining, and statistical analysis?", "what is the relationship between machine learning and data mining?", "what is the relationship between machine learning and statistical analysis.", "what is difference between machine learning, data mining, and statistical analysis", "why is data mining considered a statistical analysis", "difference between data mine and machine learning", "what is the relationship between statistics and machine learning?", "differences between data mining and machine learning" ]

[ "what data fit for distribution plot", "what is fitting truncated gamma in matlab", "how to find distributions based on truncated gamma", "how to find distribution in math", "what is the truncated gamma in data fitting", "what is the distribution function on matlab?", "what is data fitting", "if a function is not available can it be implemented in matlab?", "how to find a distribution", "why does a plot have truncated gamma", "why is data fitting not useful", "how to find the distribution of data for truncated gamma", "how to find distribution of data", "how to find distribution", "how to find the distribution of a data", "what function do i need to perform data fitting", "how do i find the distribution of data in matlab", "why is a gamma truncated", "can the truncated gamma be used to find the distribution", "which data fitting function is good for determining gamma" ]

[ "mcnemar logistic regression and probability of positive", "what is the difference between conditional and mchenemars test?", "what is the function of mcnemar's test", "which conditional logistic regression test is used to test a positive or negative reaction?", "what is mcnemars test", "mckemar's test is the same as conditional logistic regression", "mcnemar's test conditional logistic regression", "what is mcnemar's test and logistic regression?", "what is mcnemar's test used for", "what is the relationship between mcnemar's and logistic regression?", "what is the relationship between mchenemar's test and conditional logistic regression?", "what is the relationship between mchenemar's test and logistic regression?", "how is the probability of positive discording pair tested", "what is the relationship between mckemar's test and logistic regression?", "mcnemar's test", "what is the mckemar's test", "what is the relationship between mcnemar's test and mcdonald's test", "mckelmar's test conditional logistic regression", "mcnemar's test definition", "how many pairs are in the mckemar test" ]

[ "what is the cost of a pc for datamining", "which is cheaper macbook pro or pc?", "what pc to use for datamining", "which notebook is the best for datamining?", "how much is a desktop computer for datamining", "which laptop can be used for data mining", "what type of hardware do you need for datamining", "which computer is used for datamining", "what type of pc should i buy for data mining", "what laptop is best for datamining", "can i use pc for datamining projects", "cost of macbook pro", "what is the best model of macbook pro for datamining", "what is cost of macbook pro", "why buy a powerful laptop for datamining", "what is cost range for an i5 laptop", "cost of a macbook pro", "what model of pc should i use for datamining", "which pc should i buy for datamining", "what is the best laptop for a datamining task" ]

[ "what is variable a in a logistic regression?", "what is the dependent variable for binary logistic regression", "which logistic regression methods are used to predict a women's knowledge of nutrition", "which is a dependent variable in logistic regression analysis", "when to use chi square analysis for logistic regression", "what is the difference between a dependent and a independent variable in logistic regression", "what is the chi square distribution of the logistic regression model?", "which variables are used in binary logistic regression analysis", "tafa dependent variable definition", "which of the following factors is associated with the highest level of nutrition knowledge of women?", "logistic regression definition of dependent variables", "what variable is based on prior pregnancy", "what is the dependent variable in logistic regression", "what is the relationship between education and nutrition knowledge among the dependent variables in binary logistic regression", "which factor is a dependent variable in chi square analysis", "what is dependent variable in chi square", "which of the following variables is an independent variable?", "how many levels of food education in the logistic regression?", "what chi square is the dependent tat", "is education a dependent variable" ]

[ "what is the mean of gp assumption", "what justifies the zero mean assumption for gaussian processes?", "what justify zero mean assumption gaussian", "what justifies the zero mean assumption", "why do you not lose generality when you make the zero mean assumption", "which assumption is justified for gaussian processes?", "what is gp mean assumption", "why would you make a zero mean assumption", "why is it necessary to make a mean assumption when the mean is zero gaussian process", "why is zero mean assumption necessary", "what justifies the zero mean assumption for gaussian processes?", "what is the mean of a gp mean assumption", "why do you not lose generality when you make a zero mean assumption", "why do we not lose generality when we make a zero mean assumption", "why do you think the mean should be zero for ganssian processes", "why does the gaussian process have zero mean?", "why do you not lose generality when there is a zero mean assumption", "why does the gp have a zero mean", "what is gaussian process mean", "why do gaussian processes assume zero mean functions" ]

[ "which function represents a period in r", "what is the period in r", "what is the r function for forecasting", "what is the hw method for data", "how to use hw", "hw method r", "r how to do a hw forecast", "how to use hw in r", "what is the hw method in r", "what is the hw method in r", "what is the hw method in r", "what is the hw approach for r", "how to forecast using heather-winders", "which r functions are used to forecast", "which of the following is a function of a hw formula used to forecast", "hw forecast function", "what is the hw method in r", "what function is hw in r", "hw formula for forecasting function", "what is the function of r for predicting weather" ]

[ "which of the following terms describes the max likelihood estimator??", "if the variable y_i = beta is a constant, how does the maximum likelihood estimator work?", "what is the maximum likelihood estimator?", "what is the highest likelihood estimator for random variables", "maximum likelihood estimator of a random variable", "what is the maximum likelihood estimator", "how to find the maximum likelihood estimator of beta", "what is the max likelihood estimator", "what is sd max", "what is the maximum likelihood estimator of a random variable", "what is the maximum likelihood in a probability estimating test", "what is the best method for estimating the maximum likelihood of an independent random variable", "what is mli", "how to figure probability and maximum likelihood in a game", "which of the following is a maximal likelihood estimator", "what type of error is a maximum likelihood estimator", "what is the maximum likelihood estimator", "how do you determine if a random variable is unbiased or unbiased", "what is max.liability estimator", "what is the max likelihood estimator of the maximum probability estimator of beta?" ]

[ "is p a population statistic", "what is p value mean", "is p value a sample statistic", "is p value a sample statistic", "what is p-value a sample statistic", "why is a p value a sample statistic", "what is a p-value", "what is a p value for a sample", "is p value a sample statistic", "what is the p value of a sample statistic?", "why is p-value the sample statistic", "is p-value a sample statistic", "what is a p value", "what is p value statistic", "p value statistics", "is p value a sample statistic", "is p-value a sample statistic", "is a p value a parameter", "p-value definition", "what is p value a population parameter" ]

[ "which is a theory objection to hypothesis testing", "why is the likelihood ratio more important than testing hypothesis?", "what is the reason people choose a likelihood ratio over a hypothesis test?", "why is likelihood ratio used in hypothesis testing", "who said a likelihood ratio or a hypothesis test", "why people are not inclined to do an hypothesis test", "which theory might you oppose to the hypothesis test?", "why would someone prefer to test a likelihood ratio?", "why are hypothesis test theoretical objections", "why do people prefer hypothesis test over hypothesis testing?", "who is an objection to the hypothesis testing paradigm?", "which of the following is an objection to hypothesis testing?", "hypothesis testing theory", "what is the objection of hypothesis testing", "what might objection be to hypothesis testing", "why would you prefer a likelihood ratio or a hypothesis test?", "which is a theoretical objection to hypothesis testing", "which of the following is a theoretical objection to hypothesis testing?", "what is the objection to hypothesis testing", "hypothesis testing why" ]

[ "when is bootstrap used for machine learning", "can you resample using bootstrap", "can you overfit gbm", "what is the best fit for a machine learning algorithm", "what is re-sampling", "can you overfit a model using bootstrap", "can you overfit an algorithm", "what is the best algorithm for machine learning resampling", "what is the best way to do a re-sampling machine learning algorithm", "why is resampling a good technique", "can you overfit a gbm algorithm", "can i overfit a ml machine learning algorithm", "can you overfit a gbm", "how do you overfit a machine learning algorithm and test it?", "why resample", "what is the best technique to overfit a learning algorithm?", "can you overfit an algorithm", "what is the best way to overfit data", "can you overfit a machine learning algorithm", "what is the best way to overfit a machine learning algorithm" ]

[ "how to calibrate a data set", "why use calibration in statistics", "how to calibrate a data set in statistics", "calibration is the _______ function", "what are the parameters for calibration", "calibration is used to determine what function", "calibration and calibration statistics", "how to calibrate a data set in math", "what is calibrated?", "calibration in statistics", "how do i calibrate statistics", "how to do parametric data calibration", "what is calibration statistics", "how to calibrate a data set in statistics", "when calibrating a function in data", "how does a calibration function work in statistics?", "what is calibration in statistics", "which is best for a calibration of the pdf data?", "what is calibration in statistics and why", "how do i calibrate my data in statistics?" ]

[ "how to find rmse and mbd", "what is rmse in a model", "what is rmse and mbd", "what is the difference between rmse & mbd", "what is the difference between mmd and rmse", "difference between rmse and mbd", "what is the difference between mbd and rmse", "define rmse and mbd", "how does rmse and mbd differ", "what is mean bias in math", "what is mbd and rmse", "what is root mean squared error", "what is the difference between an rmse and an mbd", "what is mbd and rmse", "what is mbd and rmse", "what is difference between mbd and rmse", "which means the lowest rmse value and the mbd", "what is the rmse?", "what is rmse and mbd", "what is the rmse and mbd" ]

[ "which parameter is used to set the r kernels for regression", "what is support vector regression r", "which package is the support vector regression in r software", "what is support vector regression in r", "what is support vector regression", "support vector regression is in which package?", "r vector regression support configuration", "what is support vector regression in r", "support vector regression in r", "vector regression r", "what is support vector regression in r", "what is vector regression in r", "r vs r svn", "can r use vector regression", "what is vector regression in r", "what is vector regression in r", "what does vector regression mean r support", "how to set parameter e1071 r", "r create vector regression in xml script", "how do vector regressions work" ]

[ "what is the function of a Fisher's information", "fisher's information in a hierarchical model.", "how to find marginal distribution with fisher", "what is the marginal distribution of fisher", "which model is used to get marginal distribution", "what is the expression for the Fisher information of the marginal distribution of $x$ given", "if you have the marginal distribution of $x in laplace", "what is the expression of a fisher information", "what is the Fisher information of x and c?", "what is the Fisher information", "what is the Fisher information", "where is a Fisher information expressed", "what is the Fisher information", "what is the Fisher information equation?", "what is the fisher information for x$", "what is the exponent of fisher information of the marginal distribution", "what is the Fisher information", "what is the expression for fisher's information", "what model is the marginal distribution in", "who is the normal distribution q" ]

[ "how to select models", "why use ensemble learning method", "why is ensemble modeling used", "how to build a predictive model", "should model selection be a tree based model", "what are the choices that can be made when using a model selection method? what is the purpose of a model selection method?", "which methods are best for predicting a clinical score", "what is the name of the ensemble model used by the bestglm program", "what is the problem with a single method?", "what is the best choice for a model selection problem", "when to use ensemble learning", "which method is best for models", "what method should i use in predictive models", "which methods should you use when making a model selection selection?", "when is it better to go for ensemble or tree based modeling", "what is the name of the method used for the selection of a single model", "can you choose multiple models in a regression", "which method is better for the model selection problems?", "should i use an ensemble method in a model selection problem", "what is the best model to use for a clinical rating scale" ]

[ "what is the linear model of the rat and human cell", "how to model rat vs human response", "can humans replicate rat", "how do you model a linear system", "when does an unpaired replicate occur?", "what is the linear model of a reaction in rat cells", "how can you model a linear model in rat", "which model is the best based on unpaired replicates of rat or human cells?", "how to make a linear model of a cell response", "if rat cells are not replicated can humans be used", "what is the correct way to model a linear model", "how do you model a linear model of the human response", "what is the best way to model an experiment with an unpaired replicate?", "how do you model rat response", "which compound is an example of a linear model", "what is the relationship between rat and human", "how to model a rat reaction", "how to model rat and human response", "how to model the behavior of rat cells", "which variable is used to model a linear model?" ]

[ "how to do a distribution on the statistics", "what is the standard deviation for normal distribution", "what is the standard deviation for a normal distribution based on", "what is the skewed distribution on a graph", "what kind of distribution can you approximate from statistic", "how do I calculate the normal distribution", "can you approximate the normal distribution", "how to approximate normal distribution", "what is a normal distribution", "how to find the mean standard deviation of a distribution", "what is the average mean mean standard deviation", "how to find a normal distribution", "how to determine normal distribution", "how to calculate the standard deviation based on mean and standard deviation", "how to approximate distribution based on descriptive statistics", "how to approximate a distribution", "average distribution in statistic", "how to approximate an approximate distribution", "how do i approximate a distribution of standard deviation in a statistic", "how to approximate a normal distribution" ]

[ "which model can run multiple regression", "do repeat tests need to be run separately in analya", "what is the difference between repeatable measures analysis, naya, and multiple-adjusted", "which model would be used for an analyte?", "when to run an analyte of two groups", "can you run a repeated measure analysis on two data sets", "is it necessary to run an analyses separately", "how do you determine if an analyte has a missing value", "can you run an avn for each data cells", "can you run an in-depth repeating measures aNOVA", "can you run an anova with multiple results", "how to do an aNOVA missing data", "what model of the data is used to test multiple groups?", "can repeated measures avga be run separately", "can repeating measures avga be run separately", "can you run an analyzer for each subtest and each subtest in a different model?", "do repeated measures analyses have to be run separately", "can anova be based on missing variables", "when can an analytic models be run separately", "why would an analya model fail" ]

[ "what does kruskal wallis test do", "kruskal wallis test of unequal samples for nursing", "why can't i test the difference in sample sizes matlab", "why is matlab unconform", "which test uses unequal sample sizes", "why do unequal sample sizes matter", "how to perform a 5 grouped kruskal wallis test matlab", "which of the following tests is performed on unequal data?", "how to perform a kruskal wallis test", "what is the kruskal wallis test", "how to test sample sizes in matlab", "how to perform univariate kruskal wallis test", "why do unequal sample size matter in matlab", "what is a kruskal-warlis test for different sample size", "does matlab work for unequal sample sizes", "is kruskal wallis test for unequal sample size", "why can't i run a kruskal wallis test", "how to do a kruskal wallis test in matlab", "how do you do a kruskal wallis test", "why do unequal sample sizes matter" ]

[ "which of the following is a good reference book?", "what is the most popular reference book on epidemiology", "what good books for epidemiology?", "which is a good reference for epidemiology", "which is a good reference book for epidemiology", "which epidemiology reference is a good source", "what is epidemiology good for?", "what type of epidemiology is rothman's", "what is a good introduction to epidemiology", "what is a good reference book for epidemiology", "which epidemiology books should i purchase", "what is the reference book for epidemiology", "what is an epidemiology reference book", "what is a good reference for epidemiology", "what is the reference for epidemiology", "is rothman's epidemiology a useful reference", "which epidemiology book is best", "which of the following is a good reference book?", "is rothmans a good reference book", "which of the following is a good reference book for epidemiology" ]

[ "how to p value in r", "how to calculate the p value of parameter in arima", "how to calculate p value of parameters in arima", "how to calculate p value in arima", "arima model how to calculate values", "what is arima in r", "how to calculate p value of parameters", "how does arima model work", "how to calculate p value of parameters of arima model", "arima how to calculate p value of models", "how do i calculate the normal p value for arima", "how to calculate p value", "how to calculate the p value of the parameters in r", "what is the function of the arima model", "how to calculate parameters arima model", "how to find the p-value of parametric arima models in the r program?", "how do i find the p value of arima in r", "arima model calculate", "how to determine p value of parameters", "how do we calculate the p value of parameter in r" ]

[ "how to make math formula for plsa", "what is a mathematical equation for plsa", "how to get lsa equation formula", "how to derive plsa from wikipedia", "plsa formulas", "plsa how is the model formed", "lsa wikipedia formula", "how do i find sum of plsa", "how to derive plsa", "how do you derive the formula of plsa", "how do you derive the plsa", "what is the plsa formula", "how do one derive plsa?", "how to draw plsa", "how to use plsa model", "how to write plsa", "how to derive plsa using math jax", "plsa formula wikipedia", "what is the formula for plsa", "how to write multiline linear equation with plsa" ]

[ "can link function in probit model be canonical", "is the link function canonical", "is the link function canonical", "is probit model canonical", "is the link function in probit is canonical", "how can i find the link function in probit", "what is the link function in probit model", "what is probit model", "is probit a linear model", "can a probit model link", "what is the link function in pgr", "are probit models canonical", "which model is associated with a probit", "what is link function in probit model", "if the link function is canonical what is the function in probit?", "is the link function in the probit model", "what is probit model", "can you use probit link function", "what type of model is probit?", "is the link function in probit model canonical in math" ]

[ "what is the covariate for a bird to react to an approaching ship", "why do birds react to a ship when i observe them", "when does a bird drop off of the ship", "if bird reacts to approaching ship - how to change distance", "how to find time dependent distances", "how to censor covariates", "when do birds move towards ship", "what is the relationship between bird and ship in survival analysis", "how does distance to sea affect a bird", "why does bird bearing off the bow change as the ship travels", "censoring and time dependent covariates", "can the distance of an airplane change as the ship approaches", "when do birds move from ship to ship", "how to calculate a bird's relative bearing off a ship", "which two r variables affect ship speed", "when a birds reaction changes when sailing", "is time dependent covariate", "why use censored time to time", "what is the relationship between distance and bearing when a bird is on the water?", "time dependent and fixed covariates" ]

[ "which type of correlation does a basic vector have?", "which of the following would be useful in data clustering?", "what is the data correlation of each vector in the vector?", "how to calculate vector correlation", "which type of correlation is best used to measure the linear correlation", "what is the function of the basic vectors", "which is the strongest vector in data clustering?", "if all subgroups are a vector, which is the best example", "how to measure correlation in a data group", "how to do a clustering analysis in sql", "what is the basic data vector", "how to find the correlation between a vector and an element", "what is the difference between a vector and a basic vector?", "what is gg", "how to find subgroups in cluster analysis", "how to measure correlation between two vectors in a network", "what is a data analysis vector", "how to find correlation between vectors in cluster", "how to calculate correlation of two data points", "what is the definition of a vector" ]

[ "how to find if a cluster is enriched", "what would be the correct test if the levels of a variable were more than two?", "how to find if a cluster is enriched", "why do we use r and bh to check the enrichment", "which statement would show the enrichment of a cluster of variables in an annotated tree?", "how to find clusters of a variable", "how to find out if a cluster is enriched?", "what is the r standard p value for clusters?", "where is the cluster with the highest enriched pvalue", "if the level of the variable is more than two, what would the enriched cluster", "how to determine cluster enriched", "how to find cluster enriched values in r", "what is the test for cluster enrichment", "which variable does best use cluster enrichment", "when you are enriching the cluster in r what does it mean", "how to find cluster enriched variables", "r how to check cluster enrichment", "which variable in cluster is enriched", "is a cluster an enriched variable", "when to check if cluster is enriched" ]

[ "why vif does rise with interactivity", "how to check vif of independent variables", "how to calculate multicollinearity", "if of independent variable", "what is multicollinearity interactivity", "what is multicollinearity with interaction", "why does multicollinearity look good", "why vif is so high in multicollinearity", "what is the vif of independent variables", "what is multicollinearity with interaction id", "how to check vif of independent variable", "which variable can be interacted with independent variable?", "which variable is a multicollinear variable with z score", "when comparing independent variable to dependent variable, variable vif increase", "what is vif in multicollinearity", "what is multicollinearity with interaction", "what is multicollinearity", "what is vif of independent variables with dependent variables", "which of the following variables has the greatest vif", "what is multicollinearity" ]

[ "which statistical test should i use when there are multiple latent predictors and multiple latent outcomes?", "which statistical test should i use when there are multiple latent outcomes and multiple latent predictors?", "what statistical test should i use when there are multiple latent predictors and multiple latent outcomes?", "which statistical test should you use when there are multiple latent predictors and multiple latent outcomes?", "which statistical test should be used when there are multiple latent predictors and multiple latent outcomes?", "which statistical test should you use when there are multiple latent predictors and multiple latent outcomes?", "which statistical test should i use when there are multiple latent predictors and multiple latent outcomes?", "what statistical test should i use when there are multiple latent predictors and multiple latent outcomes?", "which statistical test should i use when there are multiple latent predictors and multiple latent outcomes?", "which statistical test is used when there is multiple latent outcomes and multiple latent predictors?", "which statistical test should i use when there are multiple latent predictors and multiple latent outcomes?", "when latent outcomes are multiple", "what statistical tests should i use when there are multiple latent predictors and multiple latent outcomes?", "which statistical test should i use when there are multiple latent predictors and multiple latent outcomes? what is the best method", "what kind of test is used to test commitment to an organization?", "which statistical test should I use when there are latent predictors and multiple latent outcomes?", "what test should you use when there are multiple latent predictors and multiple latent outcomes?", "how to predict commitment", "which statistical test should i use when there are multiple latent outcomes and multiple latent predictors?", "which statistical test should i use when there are multiple latent predictors and multiple latent outcomes?" ]

[ "truncated normal distributions", "how to use a truncated distribution", "what is a truncated distribution", "what is the formula of a truncated distribution", "truncated distribution formula", "where do u get truncated normal distributions?", "where are truncated distributions", "truncated distribution definition", "where do you find a truncated distribution", "where can i find the truncated distributions", "what is truncated distribution", "truncated distributions where can i get a reference", "what is the truncated normal distribution", "when to use truncated distribution in excel", "how to get the conditional expectation of the tail", "what is the formula for a truncated normal distribution", "where can i get a truncated distribution from", "define truncated distributions", "what is truncated distributions?", "where can i find a truncated distribution" ]

[ "logistic regression in r", "logistic regression example", "how do I find out the p value of each independent factor using logistic regression", "logistic regression r example", "what is the logistic regression model example", "logistic regression example in r", "logistic regression in r example", "how to get the p value of each independent factor in logistic regression in r", "which logistic regression model is best", "logistic regression in r", "logistic regression model in r", "logistic regression definition", "how can you get the p values of a logistic regression model in r", "logistic regression in logistic regression", "how to find the p value of each independent factor in logistic regression?", "can you calculate the p value of each factor in a logistic regression model", "logistic regression in logistic regression r", "logistic regression in r example", "what is logistic regression in r", "which factor is a binomial logistic regression" ]

[ "how to sort answers with downvotes", "how to figure out whether an answer is really good", "what is the additive weight of upvotes minus downvotes", "what is the additive weighting of scores in a question", "how to use additive smoothing?", "how to compute the score in a question", "how do we sort", "how do you rank a question", "how to sort answer by score", "what is the additive coefficient for a scholastic question", "how to do a score analysis", "how should we sort the answer", "how to figure the upvote score on each answer", "how to find downvotes", "if you can downvote and upvote a question what is the score?", "how to find the score of an answer in a poll", "how to find the score of a survey answer using sms", "how to sort questions", "how to compute the score of an answer for a math question", "what is the additive method used in math" ]

[ "what is the measure of temporal spread?", "what would be the spread of active periods", "how do you find spread over time", "what is spread on a plot", "what does spread mean in temporal", "what is the measure of temporal spread?", "how do you find spread on your time", "what percentage of active period is temporal", "how to determine the amount of time that spreads over time periods?", "what is temporal spread", "what is the measure of spatial spread", "what is spread on a timescale", "what is temporal spread", "which measures a period's spread?", "why is the temporal spread the highest", "what is the difference between temporality and temporal spread?", "what is the percentage of active periods", "what is the measure of temporal spread?", "which is higher spread or inactive period", "how to measure the spread of the time" ]

[ "can spss export graphs", "export graphs to doc", "export spss graph to file", "can you export a graph with spss", "how to export a graph to a file", "export spss to doc", "spss export to doc", "how to export a graph to a doc file", "can you export a pc graph to docx", ".pdf format for spss graphs", "can you edit a spss graph on excel", "export spss graph to DOC", "excel spss export graph", "export excel to microsoft word", "can i export the.spss graph to doc", "can you export a spss chart into a file", "can you export a graph using spss", "what is the export graph of a graph", "can you export a spss graph to doc", "how to export a graph to pssd" ]

[ "how to measure prediction quality?", "which statistic would be most appropriate to assess the predictive quality of a continuous system?", "what is the most appropriate statistic to assess quality of prediction?", "what is the most appropriate statistic to assess the predictive quality of a continuous model?", "what kind of tests are used to measure quality", "what is the best way to calculate the prediction quality?", "what statistic would be approriate for testing the predictive quality of the system quizlet", "what test is used to evaluate predictability", "what is the most appropriate test for predictive quality", "what test is the best to measure predicting quality of the system", "what would be the most approriate statistic to assess the predictive quality of the system?", "how to determine predictive quality", "what statistic is a useful for measuring prediction quality?", "define the predictive quality of a continuous variable.", "how to predict the quality of a system?", "which statistic should we use in a continuous model for predicting a variable?", "what statistic would be most appropriate for assessing the predictability of the system?", "what is the best way to estimate predictive value", "what is the most approriate statistic to assess the predictive quality of the system quizlet", "how do you measure prediction quality" ]

[ "how to do the classification with only one variable", "can hierachical clustering be used for classification", "why is hierachical clustering important", "is hierachical clustering suitable for classification", "can hierachical clustering be used for classification", "how to do classification with single variable", "what is hierachical clustering", "what is hierachical clustering used for in data mining?", "what can be used as a primary objective of hierachical clustering?", "what is the purpose of hierachical clustering?", "clustered logical definition", "can an algorithm classify only one variable", "hierachical clustering", "how to classifies an individual in a database", "when to use hierachical clustering", "which algorithm can use hierachical clustering?", "can you use hierachical clustering to classify a single variable", "how to do a classification with only one variable", "is hierachical clustering suitable", "can you use hierachical clustering" ]

[ "which clustering algorithm is suitable for one dimensional lists without knowing k?", "which clustering algorithm is suitable for one-dimensional lists without knowing k", "which clustering algorithm is suitable for one-dimensional Lists without knowing k?", "which clustering algorithm is suitable for one-dimensional lists without knowing k?", "which clustering algorithm is suitable for one-dimensional lists without knowing k?", "which clustering algorithm is suitable for single dimensional lists without knowing k", "which clustering algorithm is suitable for one-dimensional lists without knowing the number of clusters k?", "what is clustering algorithm", "what is clustering algorithm gmm", "which clustering algorithm is suitable for one-dimensional lists without knowing k?", "which clustering algorithm is suitable in one-dimensional lists with no knowing k?", "clustering algorithms example", "what is the clustering algorithm in a one dimensional list", "which clustering algorithm is suitable for one-dimensional lists without knowing k?", "which clustering algorithm is suitable for one-dimensional lists without knowing k?", "which clustering algorithm is suitable for one-dimensional lists without knowing k", "which clustering algorithm is suitable for one dimensional lists without knowing k", "which clustering algorithm is suitable for one-dimensional lists without knowing k?", "which clustering algorithm is suitable for one-dimensional lists without knowing k", "which algorithm is suitable for one-dimensional lists without knowing the number of clusters k?" ]

[ "what is the difference between an estimator and a classifier in machine learning?", "what is the difference between model and classifier", "difference between a models and classifier in machine learning", "what is the difference between a classifier and model?", "difference between estimator and classifier", "classifier definition", "difference between classifier and estimate", "what is the difference between a classifier and an estimator?", "what is the difference between a classifier, model and estimator", "what is the difference between classifier and estimator", "what is the difference between a classifier and an estimator", "difference between model and classifier", "is classifier an estimator", "what is the difference between classifier and model", "what is the difference between a classifier and an estimator", "what is the difference between classifier and classifier", "what is the difference between a classifier and an estimator", "what is the difference between a classifier, a model or an estimator", "what is the difference between a classifier classifier and model classifier classifier model", "what's the difference between a model and classifier" ]

[ "why is network similarity useful", "what is the unique metric of similarity for facebook", "what is a facebook similarity metric", "facebook how does similarity metric work", "similarities between different users on facebook", "what is a unique metric of similarity", "why is this a unique metric", "why are similarity metrics useful", "similarities of two facebook users", "what kind of similarities between users", "what measures the similarity of users", "what is the unique value of facebook", "how to determine network similarities in facebook", "what is similarity metric", "which metric is used to compare social networking users?", "why do people compare themselves on facebook", "how to measure similarity on facebook", "what is the unique metric for facebook comparisons", "how is a facebook profile similar", "how to tell how similar two people are on facebook" ]

[ "random polygon sample", "random polygons sample how they work", "what is the random sampling in a polygon", "random sampling in polygon", "random points in a polygon", "can you find a linear random point in a quadrant", "random sampling in polygon", "what kind of polygon would random sampling be", "how to randomly sample a polygon", "random sampling in a polygon", "random sampling python", "when random sampling a polygon what do you use", "random sampling definition in a polygon", "when can random numbers be found in a polygon", "random sampling in a polygon", "random sampling polygon", "which random point of shape in a polygon would be random?", "random point sampling for polygon", "random number sampling in a polygon", "random sampling in polygon" ]

[ "fuel consumption vs standard deviation", "how to compare fuel consumption to standard deviation", "average fuel consumption in u.s.", "how to compare fuel consumption to a lognormal distribution", "average annual sales weighted fuel consumption in the us", "which data set is a log-normal distribution?", "what is the standard deviation of a log normal distribution?", "what is log normal fuel consumption", "what model is a fuel distribution", "what is the avg average annual fuel consumption of a vehicle", "how to infer average fuel consumption", "what distribution of fuel consumption is in data set 2", "what is the difference between log normal distribution and average fuel consumption?", "how are fuel consumption data compared", "difference between log normal and average fuel consumption?", "how to find the normal distribution of annual fuel consumption data", "how to compare log normal data", "what is the standard deviation for a standard distribution", "how to compare log normal distribution", "how does a log normal distribution work" ]

[ "what is spearman's correlation coefficient?", "what is spearman's correlation", "what is spearman correlation", "what is spearman's correlation coefficient mean", "what is spearman's correlation?", "how to measure association of variables in spearman's function", "what is spearman's correlation", "what is the correlation between variables", "what is spearman correlation coefficients", "what is the coefficient of correlation between multiple variables in spearmans", "what is the amplitude of spearman correlation", "what is spellan correlation", "what is spearman's $rho$ between multiple variables", "what s spearman correlation is 0.4", "how is spearman's correlation measured", "what is spearman", "what is spearman correlation", "what is spearman correlation", "what is spearman correlation between the variables", "what is spearman's correlation" ]

[ "what degrees of freedom does a mixed model use", "degrees of freedom of a mixed model in statistics", "how many degrees of freedom does microsoft sql have in a linear model", "how many degrees of freedom does a mixed model have", "how many degrees of freedom is there in an mlm model?", "how many degrees of freedom are in mlm model", "degree of freedom in mlm", "degree of freedom statistics", "how many degrees of freedom in a mixed model?", "what is the degrees of freedom in mlm", "what is degree of freedom for mixed models?", "what is the degree of freedom in mixed model analysis", "which model has the most degrees of freedom?", "what is the degrees of freedom with mixed model", "what is the magnitude of degrees of freedom for multiple levels of modeling", "what is the degree of freedom for a mixed model", "how many degrees of freedom do you have in mlm", "what is the degree of freedom for a mlm model", "what model has large degrees of freedom?", "why are degrees of freedom significant" ]

[ "what is a confidence interval in regression", "which classifier is used to calculate confidence in a prediction?", "how to determine confidence in a classifier", "what is the confidence value for regression", "why use a confidence interval", "what is the confidence interval in regression", "which of the following describes confidence in a given data point?", "what determines confidence in data", "what measures the variability between two data point", "why does a regression classifier need confidence", "does the confidence interval depend on the data or classifier", "how to know confidence interval", "which of the following is commonly accepted method to determine a given data point's confidence?", "which is used to calculate confidence?", "is confidence the same as confidence of prediction", "what is the confidence interval for data", "what is the confidence interval", "what is the general range in which a statistic classifier can return its confidence", "which of the following is the best method to determine a given data point's confidence?", "confidence of a classifier is how" ]

[ "how to use chi square in paired data", "do mcnemar chi square tests work", "how to use chi square comparing", "how to find chi square paired data", "what chi square test to use for paired comparison", "what is the chi square used to compare paired data", "what type of data is matched comparison", "what chi square is used for paired data", "how do you do chi square tests together", "can a chi square test be used for paired test", "what test is used for paired comparison", "is there a test that works with paired data", "paired comparison chi square", "how to use two data sets together", "chi square chi test results", "do paired comparison chi squares work", "do paired comparisons work in r", "when to use paired chi square test for paired data", "does chi square test work on paired data", "do paired chi squares work" ]

[ "what is the maximum likelihood estimation?", "what is the limit of the two-stage maximum likelihood estimation?", "maximum likelihood estimations", "which is an inconsistency function", "what is the function of maximum likelihood in two stage estimation", "what is inconsistency in the two stage maximum likelihood estimate (mlm)?", "why are two stage maximum likelihood estimation inconsistencies?", "inconsistency in maximum likelihood estimation", "maximum likelihood estimation in two stage", "what are the inconsistencies of the maximum likelihood?", "how to find maximum likelihood", "how do i find the log likelihood of two step estimate", "what is the log likelihood of a two stage maximum likelihood estimation?", "which function is the maximum likelihood function", "inconsistency of two stage maximum likelihood estimation", "which statement is an inconsistency function of a maximum likelihood", "what is the mlin function in a graph", "what is the inconsistency in the log-likelihood estimation", "when is the maximum likelihood in the two stages estimation?", "average probability to econ" ]

[ "why do ner classes improve?", "what is the quality of ner classification", "how to improve ner classifier", "why is ner classifying a different language", "what is the classifier window", "why the ner window transform is overfitted", "why is window transformation performed when ner classificator", "when is window transformation performed", "what decreases ner classifier", "how does ner classifier improve", "why is my ner classifier inconsistent", "why does ner use window transformation", "does ner classification need to be performed without window transformation?", "when ner classifier is performed", "what is the quality of ner classificator", "why is it difficult to classify ner", "what would cause classifying of features when window transformation is performed", "when is sliding window transform performed", "when do you perform windows transform", "ner classificator quality" ]

[ "what is the poisson distribution?", "what is the poisson distribution in scss", "does poisson use pause intervals", "can you run the probability distribution with pause periods", "what makes a poisson distribution valid", "how to use the poisson distribution", "which type of data is a probability distribution", "how are periods of pause and pause distributed", "when does poisson distribution work for cluster analysis", "how to use poisson distribution", "is poisson good for random events", "what is parson and scatter distribution", "what is poisson distribution", "is poisson good for events", "when do the timestamp pauses occur in the probability distribution?", "can pause periods be used for cluster analysis", "why does pause intervals of the process change", "what is the poisson distribution useful for?", "can you use poisson on a time series", "why isisson distribution good in cluster analysis" ]

[ "why are marginals useful", "why do marginals matter in the java", "why marginals matter", "why marginals in a model matter", "why are marginals important", "why do marginals matter in a model?", "why are marginals important?", "why are marginals important", "why do marginals in graphical models matter", "why do marginals matter in graphical models", "why do marginals matter", "why does marginals mean in a graph", "why do marginals matter", "why do marginals matter in math", "why do marginal models matter", "why do marginals matter in math", "why marginals in a model matter", "why do marginals matter in a model", "why is marginals important", "why marginals matter" ]

[ "why do i reject the null hypothesis", "what is the significance level for a null hypothesis", "null hypothesis vs reject", "is it better to reject or reject a hypothesis in math", "how to figure out whether null hypothesis is true", "null hypothesis test what is the significance level", "what is the null hypothesis in math", "what is the significance level of the null hypothesis?", "what level of significance is it when a hypothesis is rejected or not?", "how does one reject the null hypothesis?", "why reject or reject your hypothesis", "if a hypothesis is rejected, what percent of people would be happy", "what is the statistical significance of rejecting or failing a null hypothesis", "what is the significance level of the null hypothesis", "what is the significance level of null hypothesis", "how to find the significance of a null hypothesis", "what is the significance level for determining whether a hypothesis is null?", "if you reject all hypothesis, how many people are happy", "what is the significance level of rejecting or rejecting the null hypothesis?", "when should your hypothesis tests reject or fail" ]

[ "what is the population variable in a forest", "what is population variable importance", "what is the mean squared probability of an error in a tree", "what is the population-level importance of this random forest classifier", "population importance of random forest", "what is the population value in a random forest", "what is population and variable importance", "what is a population variable importance?", "how to measure population importance in random forest", "population importance variable in random forest", "which random variable is a population-based classifier", "what is the population variable value of x", "what is the population variable importance", "what is the population value of mse in a random forest", "how to find the importance of a variable?", "what is the population variable importance in random forests", "population variable importance", "what is variable importance in a random forest", "which of the following is the measure of the importance of each random variable?", "population variable importance" ]

[ "average weight of male", "age gender effect on weight", "what effect does gender have on height and weight", "age differences gender differences", "what age group has the greatest effect on weight", "what is the effect of gender on height and weight", "what is the difference between gender and age groups in a NOVA", "how age group affect weight", "age groups and weight effects", "does age group influence weight in men?", "age and gender differences", "which study did a significant maova effect", "age groups on average weight", "what is the effect of age on weight?", "how does gender affect average weight", "how do age groups affect weight", "age and weight effects on body", "does gender have an overall effect on average height and weight?", "age group differences", "average weight of gender in height" ]

[ "what is phi in javags", "when to use data block in jars example", "why is model not fit", "how to model phi with javags", "how to model data java", "what type of model is phi", "what is the difference between phi and model", "can you use phi model", "what is the phi in jags", "jagging model data", "what is data block in jars", "what type of data block can fit in a model statement?", "how to add phi to data block in jars", "what is the data block in a jag", "what is the model data block in jags", "javags how to fit model", "javas phi model definition", "what is the purpose of the data block in jtag", "what data blocks are used in gist", "which data block in a model statement would fit x in a function of observed data?" ]

[ "what is the difference between super clustering and unsupervised clustering", "how to use the k means cluster algorithm", "what is the unsupervised clustering algorithm?", "what is supervised clustering", "what is k-means clustering used for", "what is supervised clustering", "what is k means clustering?", "what is semi-supervised clustering", "what is supervised clustering", "how to use k mean cluster", "what is supervised clustering", "can supervised clustering be done unsupervised", "what is k mean clustering", "what is the k mean cluster algorithm", "what is supervised clustering", "what is the difference between semi-supervised clustering and unsupervised clustering?", "what is meant by supervised clustering?", "what is supervised clustering", "what is supervised clustering for classifier", "which type of clustering algorithm is used for k-means clustering" ]

[ "what is proc mixed for?", "why is proc mixed same as glimmix", "why is p value for proc mixed same as variance", "what is the difference between proc mixed and glimmix", "why is proc mixed different from glimmix", "why are proc mixed results the same as glimmix", "why are results from proc mixed same as proc", "why is proc mixed same as glimmix in stats", "why is glimmix same as proc mixed", "why is proc mixed same as glimmix", "why are results of proc mixed the same as variance", "what is the same p value as a variance in glmix in proc mixed", "why is proc mixed different than glimmix", "why are results from proc mixed same as for proc glimmix", "why p values of glimmix are the same as those of proc mixed", "why are proc mixed p values same as glimmix", "why are data abundance results based on proc mixed", "how is p value calculated for proc mixed results", "why are p values in proc mixed and variances in glimmix different", "why are results of proc mixed same as those obtained by proc glimmix" ]

[ "where is the ellipse region in netflow", "what is the ellipse region shape", "how to use netflow ellipse region", "where is an ellipse region in the graph", "ellipse region shape", "ellipse region extraction", "what is the ellipse region for netflow", "is there an ellipse region", "what is the shape of an ellipse region", "how to create a ellipse region", "how to extract ellipse region from a network", "what is the ellipse region in netflow", "ellipse region definition", "what csv to use to obtain ellipse region from multivariate distributed data", "is a point ellipse", "how to extract ellipse region", "elliptic region shape", "what is ellipse region", "how do you extract x axis shape from ellipse region data", "what is ellipse region shape" ]

[ "why am i not getting the symmetrical correlation matrix in r", "what is correlation matrix in r", "how to calculate correlation in r in excel", "how to get a correlation matrix", "why can't i get a symmetrical correlation", "what is the matrix of symmetric correlation in r", "how do you get the correlation matrix in r", "r how to get symmetrical correlation matrix", "why do i not get symmetrical correlation in r", "why don't r generate correlation matrixes", "why am i not getting a symmetrical correlation matrix in r", "why not get symmetrical matrix", "why is correlation matrix missing in r", "why does r not have symmetrical correlations", "why can't we get correlation matrix in r", "why do i not get a symmetrical correlation matrix in r", "why doesn't correlation matrix have symmetrical", "why can't r create symmetrical correlation matrix of a column?", "why is the correlation matrix not symmetrical in r", "why is this matrix not getting symmetrical" ]

[ "what is the confidence interval of a likert", "can you use confidence intervals with a likert scale", "confidence interval for likert scale", "average confidence interval", "how to calculate confidence intervals", "confidence interval of a likert scale", "why use confidence interval for likert ratings", "how are confidence intervals used in likert", "how to find confidence intervals in likert", "how to find confidence interval on likert scale", "what is the confidence interval for a likert scale", "how to calculate confidence interval", "how to find confidence interval of a score", "confidence intervals for likert test", "how to find confidence intervals for likert scale", "how to compute confidence intervals", "confidence interval for likert scale", "which confidence interval is used to compare ratings", "what confidence interval for a likert", "how to tell whether a rating is good or bad" ]

[ "what is the beta of a linear regression model", "when include predictors in linear regression", "average linear regression f standard deviation", "does included predictor affect beta", "ls regression regression coefficients", "what does including predictors do in linear regression", "rnorm linear regression predicting variable beta", "what is the effect on the beta", "how to determine beta in linear regression model", "what is the coefficient of beta excluding predictor", "how do you calculate beta using predictor", "what is the normal beta of a linear regression sample", "which of the following is an example of a p value that can be used on a regression model", "how to find the beta for regression", "how is the beta for a linear regression model used?", "how is beta compared to intercept", "how do linear regression models estimate betas", "how do you calculate the average beta and intercept of a linear regression model with independent variables?", "what is the coefficient of beta for linear regression", "what is the coefficient of predictor in linear regression" ]

[ "how to detect aimbotter", "how do you detect aimbotting", "how do you detect aimbotters", "how to check if someone does aim bots", "can you detect aimbots", "what is aimbots used for", "what is aimbot", "how to detect aimbotters", "how to detect aimbotting in sa mp", "why is a aimbot detected", "how can i find out where a target is from aimbotting", "how to detect aim botters", "how to detect a player to use an aimbot", "why can't aimbots be detected", "what is aimbotting", "how to tell if someone is cheating on a server", "how is aimbot detected", "how does aimbotting work", "how do i tell if someone is aimbotting", "can aimbots be detected?" ]

[ "which type of neural net approximates a glm", "can a neural net approximate a glm", "what is the activation function of neural nets in r", "can a neural net approximate a glm?", "can neural net approximate glm", "can neural net approximate glm", "which neural model approximates glm", "can neural nets approximate glm", "can a neural net approximate a glm", "how to approximate glm", "can neural nets approximate golm", "does neural net approximate glm", "what is neural net mlp", "can neural nets approximate glm", "can a neural net approximate a glm", "what is a glim neural net", "what is mlp neural net", "can a neural net approximate an mlp", "can a neural net approximate a glm", "can neural nets approximate glms" ]

[ "what to do if x vector elements are zero", "what is dirichlet distribution", "define dirichlet distribution", "what is the limit on the frequency vector", "what happens when elements of x vector are neg", "what do you do for dirichlet distribution", "what to do when elements of x vector may be zero?", "what to do for dirichlet distribution when elements of x vector may be zero?", "what to do for dirichlet distribution when elements of y vector may be zero?", "dirichlet definition", "what is a directichlet distribution over frequency vectors? how to use the vectors?", "how to use dirichlet distribution", "what to do for directichlet distribution when elements of x vector may be zero", "what to do when x vector element is zero", "what to do for directiclet distribution when elements of x vector may be zero.", "what is the dirichlet distribution over frequency vectors?", "what to do in dirichlet distribution", "why is a dirichlet distribution used", "what to do in dirichlet distribution when elements of y vector may be zero?", "what to do for dirichlet distribution" ]

[ "what is the interpretation of r a panel", "which statement best reflects the understanding of the regression equation?", "what is r2$", "what is the interpretation of $r2?", "what is the interpretation of r2 in a panel analysis? explain", "what does r2 mean", "what is the interpretation of $r to 2%", "what is the r mean in a panel for regression", "what is the significance of the $R$ in the cross sectional analysis?", "what is r2 in a regression", "what is r-2", "how to interpret $r in regression", "what is the interpretation of r in fixed-effects regression", "how do you interpret the r2$ value of the femto", "what is $r2$ in regression", "what is the interpretive value of $r+2", "why use a fixed effects regression", "what is the interpretation of r2$", "what is r2% of the total variable", "what is r2 in regression" ]

[ "why do independent variables have more significant results in a multivariate logistic regression", "is multivariate logistic regression analysis more useful", "why would multivariate logistic regression be better than multivariate", "why does multivariate model give more value", "what is the difference of a multivariate logistic regression and a multivariate multivariate logistic regression?", "why multivariate analyses are not good", "why would a multivariate logistic regression test give lower p values?", "why would a multivariate linear model be performed to obtain the most significant p value", "why is multivariate linear regression better than bivariate", "when does multivariate vs bivariate analysis give you a better p value", "can multivariate logistic regression give better results", "does multivariate regression have better p values than bivariate?", "when should a multivariate logistic regression be used", "how do you get better p values in a multivariate analysis", "which variable is best for multivariate analysis", "does multivariate regression have stronger p values", "what is the difference between a bivariate and a multivariate", "why do we use multivariate vs bivariate", "why is it normal to have a lower p value in a multivariate analysis", "what is the p value of a multivariate logistic regression" ]

[ "what is the significance of the statistical analysis for gene expression", "what is a statistical analysis for a gene expression", "what is the gene analysis for gene expression", "how to verify statistically significant differences", "________ gene is a reference gene for drh1.", "why are two sets of data similar", "what is drh1 nsp", "when can you test the difference between two groups of gene expression data", "what is the gene expression statistic", "how is statistical analysis performed for gene expression data", "how to find the statistical differences for gene expression data?", "what is the difference between a rna and a drh1 gene", "what is the test for gene expression", "which gene is used for gene expression analysis?", "what is the range of a standard gene expression in different sets of genes", "what is the statistical mean for gene expression", "how to analyze gene expression data", "how can i determine the difference between two sets of standardized data with different gene expression", "which gene represents the smallest variation in the arithmetic for gene expression?", "which gene has the best statistical analysis" ]

[ "which statistical metrics can be used for characterizing binary time series?", "which statistics can be used for characterizing binary time series?", "what metrics are used for characterizing binary time series", "which statistical tools can be used for characterizing binary time series", "what type of metrics can be used for characterizing binary time series?", "which statistical metrics can be used for characterizing binary time series", "which statistical metrics can be used to characterize binary time series?", "which statistical measures can be used for characterizing binary time series?", "which statistical metrics can be used for characterizing binary time series?", "which statistical metrics can be used for characterizing binary time series?", "what are some binary time series", "which of the following statistical metrics can be used for characterizing binary time series?", "which statistical metrics can be used for characterizing binary time series?", "which statistical metrics can be used for characterizing binary time series?", "which statistical metrics can be used for characterizing binary time sequences?", "which statistical metrics can be used for characterizing binary time series?", "which metrics can be used for characterizing binary time series", "what metrics can be used for characterizing binary time series?", "what type of statistics can be used for characterizing binary time series?", "which statistical methods can be used for characterizing binary time series?" ]

[ "logistic regression analysis with few observations", "when using logistic regression with few observations what is the result", "is logistic regression with few observations good fitting", "what is logistic regression with few observations", "what is the logistic regression analysis", "if you are predicting a regression, then the number of observations is", "what are the logistic regressions with observation ranges", "logistic regression with few observations", "what are logistic regression with ____ observations.", "how to find logistic regression", "what is logistic regression analysis", "logistic regression with few data", "what number of observations in logistic regression", "logistic regression analysis with few observations", "logistic regression analysis with few observations", "what is logistic regression", "logistic analysis with few observations", "logistic regression with few observations", "logistic regression analysis with few observations", "logistic regression with few observations definition" ]

[ "cosine similarity classification technique", "is cosine similarity a classification", "is cosine similarity used in classification?", "what is the classification and clustering of similarity", "what is the definition of similarity", "is cosine similarity a classification technique", "what is cosine similarity classifying", "is cosine similarity a technique or classification", "is cosine similarity a classification technique?", "what is similarity of cosine", "is cosine similarity classification", "what is similarity classification technique", "what is cosine similarity", "when to use cosine similarity", "is cosine similarity clustering", "is cosine similarity a classification", "is cosine similarity a classification or clustering technique?", "is cosine similarity a classification", "defining cosine similarity", "what is cosine similarity a classification or a clustering technique?" ]

[ "which is the shortest effect of within-subject design", "r effect size formula", "effect size in between subjects", "effect sizes in r", "how to find effect size formula in r", "what is the formula for calculating effect size?", "what is the r effect size", "which is a best effect size for a study?", "can you calculate the effect size in r?", "effect sizes of study", "how to find effect size within subjects", "what is the effect size of r", "effect size in r", "how do I calculate an effect size in r", "what is the effect size of each study", "how to calculate effect sizes in r", "what is effect size", "effect sizes r", "effects size formula", "r effect size formula" ]

[ "what is the input and output value for multilayer perceptrons", "multilayer perceptron mapping", "which identifies input and output values for a multilayer receptor", "what is the input range for the multilayer perceptrons", "which multilayer perceptron map the output to output", "what are multilayer perceptrons used for", "what inputs are needed for multilayer perceptrons", "what is multilayer perceptron", "what is multilayer perceptron mapping?", "what is multilayer perceptral", "what is multilayer perceptrons", "what is input and output in a multilayer perceptron?", "what is the input of a multilayer perceptron", "when do multilayer perceptrons maps output", "what is the input value of multilayer perceptrons", "what is multilayer perceptrons input input output", "why do multilayer perceptrons map output", "what is the input value in a multilayer perceptron", "when to use multilayer perceptrons", "do multilayer perceptrons have input and output" ]

[ "what is the difference between pga and gpa for hr management", "can an rsvp be used in regression", "why is gpa a useful outcome variable for regression", "how does gpa affect a schooling", "why is a gpa variable bad", "what is the difference between gpa and sat scores", "can i run regression on a gpa", "can gpa be used to predict school performance", "what is the outcome of regression", "what is the best predictor of a gpa", "why regression a good idea", "what is the default gpa score for an undergraduate hr degree", "how to determine whether a particular subject is a good predictor of university", "why is it a bad idea to do a regression", "what is the outcome variable for gpa regression?", "why is gpa a predictor", "how to predict gpa", "is gpa a predictor of a degree", "why is it so bad to have a gpa in regression", "why is gpa a variable for regression" ]

[ "weighted regression with dummy variable", "weighted regression dummy variables", "can you use a dummy variable for weighted regression", "weighted regression with dummy variables", "does weighted regression have a dummy variable", "how do you do weighted regression", "when using weighted regression with dummy variables a predictor is", "what is weighted regression when a dummy variable is used", "weighted regression with dummy variables", "weighted regression and a dummy variable", "can we use dummy variable on regression weighted", "weighted regression with dummy variables", "when to use dummy variables in a weighted regression", "why use a weighted regression when it's only dummies", "weighted regression with dummy variables", "weighted regression when dummy variables", "what is weighted regression", "is weighted regression a dummy variable", "weighted regression with dummy variable", "weighted regression with dummy variables" ]

[ "what is wide sense in a math program", "is an arma process stationary", "why is ARMA non-causal", "which condition does a arma process need to be", "what is the difference between wide sense stationary and non-causal", "what is the condition for a wide sense stationary arma process", "what is wide sense stationary", "what is the condition for wide sense", "what is a wide sense stationary arma process", "is a time series wide sense stationary", "what is the characteristic of the arma process?", "why is arma stationary", "which arithmetic term is a stationary process", "why is arma stationary", "how many magnitudes in a ARMA", "what is wide sense stationary", "what is wide sense", "how is a arma process defined", "why is ar process non-causal and wide sense stationary?", "when a process is wide sense stationary what is the root of its ari polynomial" ]

[ "can the ljung-box test be used to test the validity of a time series?", "what type of test measures time series", "is the ljung test accurate", "can a time series be used for a regression test?", "how to tell if a period is constant", "what statistical tests to do for trend", "how is ljung test used", "how does the ljung test for the variability of the time series work?", "can a time series always go up or down", "how to find if a time series is continuous", "what is the ljung test for the data", "how are time series measured in a laboratory setting", "how can i measure a time series", "can the ljung-box test test for trend?", "how to test the validity of longitudinal data", "how to measure a time series for a sample", "how to determine time series of variables", "what statistical test to use to test time series", "what tests do you need for measuring trend", "how to interpret data to find a trend" ]

[ "how to construct a prior distribution", "can i use pageview data as a measurement of popularity?", "what is gamma distribution", "which kind of distribution would be useful to measure popularity?", "when a product name is mentioned in the catalogue, which of the following is the best way to construct a prior distribution?", "how to tranform pageview data into probabilities of product use", "how to find a measure of popularity", "why is it useful to have a prior distribution", "what is the best way to construct a prior distribution", "what is the best way to model wikipedia pageviews", "how can I tranform the number of pageviews in wikipedia into probabilities", "what is prior distribution", "is wikipedia a prioritization distribution", "what is the best way to model prior distributions?", "how do you construct a prior distribution", "why is it important to use a product in a catalogue?", "why are pageviews discrete", "what is the best distribution for the pageview dataset?", "why is there a prior distribution", "when to use a prior distribution of pageviews" ]

[ "how to compare the likert scale items", "how to compare individual scores on likert scale", "how many items on the likert scale are matched", "how to compare likert scale items", "what is the average agreement on different likert scale items", "how many items can be compared on the likert scale?", "how to compare likert items", "how to compare items on likert scale", "what is the difference between a likert scale and a normalized likert scale", "how to compare likert scale items", "how many items on the likert scale", "how to compare likert scale items", "how do you compare different likert scale items", "how much is competent", "what is the best way to compare likert scale items", "how are score distributions related", "can you compare a likert scale item for a person", "how to compare k on likert scale", "how to compare a likert scale item", "how do you compare scores on the likert scale" ]

[ "how to create a new statistic in regression study", "how to compute x in regression", "how to generate new vectors in regression simulation", "when does a simulation need to include a ridge", "how to generate random errors on a regression model", "how to do simulation of a ridge regression", "how to do a ridge regression simulation", "when generating new data in regression simulation", "how many time can you use a ridge regression model", "how to simulate new x in a regression", "________ is a ridge regression model.", "what is the ridge regression equation?", "how do i simulate new x in a regression", "when to use the same vector for each replication", "which model does the best simulation work best with?", "what are the parameters of the ridge regression", "how to simulate a new x in a regression", "how to do a ridge simulation with the least squares?", "can i create new x during regression simulation", "how many times do you use the same x vector for each repetition" ]

[ "why are manovova tests valid without post hoc tests for independent variables", "is a MANOVA good for independent variable", "why are NOVA tests useful", "are post hoc tests useful in aNOVA", "is a maova a good test in independent or dependent variables", "what is the difference between anaNOVA and a manova", "what is a majorov", "which is a good choice for an independent variable in a randomized randomization", "which method is the best for comparing independent variable with independent variable?", "can an independent variable and dependent variable differ in a manova", "which is not true for an analyte if the dependent variable has no p value", "is maova effective", "is a p value significant in manova", "is p value significant for an anova", "is anavar and anova good", "is a manovo a good choice", "is a manova a p value significant", "what is difference between mariova and anavar", "are manovas effective without a post hoc test", "why is the manovo test not helpful" ]

[ "what is the efficient estimating distribution function for independent observations?", "which unbiased distribution function is used to estimate the f$ distribution?", "which distribution function is efficient in estimating f$?", "which function can be effectively used to estimate a distribution?", "estimate distribution for dependent observation", "estimate distribution function for independent observations", "which distribution function is efficient for estimating the distribution", "estimating distribution function for independent observations.", "what is efficient estimate of a distribution function", "which is efficient for estimating a distribution function", "which distribution function is efficient for estimating the variance of an independent distribution?", "estimating distribution function for dependent observation", "how to estimate a distribution", "what distribution function estimates f$", "which distribution function can be efficient for estimating the smallest variance?", "how to find the distribution function for dependent observations", "what is efficient estimate for distribution function", "estimate distribution function", "is $patf_n$ efficient", "what distribution functions use independent distribution" ]

[ "algorithm to compute median", "what is the best algorithm for computing median", "how to compute median in online fashion", "which algorithm is a best for estimating medians on large read-once datasets?", "how to compute median data", "what is the best algorithm to calculate the median in an online fashion?", "how to compute median in an online fashion", "what is an algorithm", "what is a good algorithm for estimating the median of a massive read-once data set?", "how to compute median in an online fashion?", "what algorithm computes median", "how to calculate median", "what is a good algorithm for estimating the median of a read-once data set?", "what is the algorithm for estimating the median of a huge read-once data set?", "what is algorithm that estimates median", "how to compute median of multivariate data", "how to compute median in online fashion", "how do you compute medians", "how to compute median", "what is an algorithm to compute median" ]

[ "how to improve the difficulty of a task", "how to improve task difficulty rating", "how to increase difficulty of a task in website", "how to measure difficulty on search engine", "what is the easiest type of task to do", "how to improve difficulty of an SEO", "what is the purpose of a difficult task", "how to measure difficulty of a website search", "how do you improve difficulty scores", "how to improve difficulty level of task", "how to improve difficult tasks on a website", "how to improve the difficulty of a job", "how to measure difficulty of a task in search engine optimisation", "how to get user feedback on a task", "what would be an example of a difficult task?", "how to measure difficulty in an algorithm", "how do I measure difficulty of a task", "why do we need to collect user feedback", "what is an example of difficult search engine", "how to make a task easier" ]

[ "how to do a linear regression in excel", "how to run regression on two records in excel", "how to do regression analysis on two data points", "which model is used to perform regression analysis on two data sets with different sample spacing?", "how to find correlations", "can i run a regression on two data sets with different sample spacing?", "what to use for linear regression", "what is the average correlation of two records in the climate", "how do i perform regression on the data set", "how to do regression in excel", "resampling for regression", "how do you test correlation in regression analysis on two sets of data?", "how to do the regression on two data records", "does linear regression work with two sample spacing", "why is it important to conduct regression analysis with two data series that have different sample spacing", "how to do regression analysis in excel", "when to do linear regression", "how do you use the correlation in regression analysis", "can you run regression on two data series with the spacing of ___", "how to do regression in data" ]

[ "which type of binomial regression can be used for commercial count data?", "what model is useful for counting commercials", "when is the optimal model used", "what model to use for predicting ad data", "why use negative binomial regression in tv broadcast", "when to use a prediction function", "what statistical model to use for predicting the number of orders for the given advertisment", "what is the correct model to use for advertisement count data?", "predicting ad duration", "what type of model to use for advertising", "what is the best model for broadcast optimization", "what is the model used to predict advertising durations", "what model do you use to predict ads", "what is the correct model to use to model ad hoc", "how to use binary regression for count data", "what kind of regression model to use for broadcast statistics", "when are commercials broadcasted", "what is the correct model for broadcast optimization", "what is the model of broadcast optimization", "what model can be used to predict the length of a given advertisment" ]

[ "what is usually distributed random variable", "normally distributed variable sum", "are normally distributed variable normal", "is the mean of two normally distributed random variables normally distributed", "what is normally distributed random variable", "what is the normally distributed variance", "what is normal distributed variable for normal", "what is sum normally distributed random variable", "what is normally distributed variable", "normal distribution of variables", "which of the following is normally distributed? what is the sum of normally distributed random variables?", "are normally distributed variables normally distributed", "what is the normal distribution of a random variable", "are normally distributed random variables normally distributed", "normally distributed random variable definition", "normally distributed random variable", "normally distributed variable mean variance", "what is the normally distributed variable?", "what is normally distributed in a random variable", "normally distributed definition math" ]

[ "when to use SS error and comparison in power analysis", "how to run a power analysis on a planned contrast", "how to run a power analysis", "how to run a power analysis", "can you run the power analysis on combining variables", "what kind of error does a power analysis have that is between two subjects", "how many ss error terms in power analysis", "how to run a power analysis on a repeated measures design?", "how to run a combined power analysis", "how to run a power analyzer", "how to do power analysis for a repetition of measures", "how to do a power analysis for a repeatable design", "how to do a ss error in contrast analysis with repeated measures", "how many ss errors in parallel", "how many ss error terms for combining contrasts", "combining ss error and df terms", "how to run a power analysis with combining contrasts", "how many error terms are there for combined contrasts?", "when you combine ss error with contrasts", "how to run a power analysis for a three factor repeated measures design" ]

[ "which statement should be used when there is a lambda value", "what is information matrix equality", "is information matrix equality valid", "is information matrix equality valid", "what is the mle estimator for poisson", "what is the lambda used for for the information matrix", "is the information matrix equality valid", "what is information matrix equality in probability", "is the information matrix equal to lambda", "what is the value of the mle estimator?", "is the information matrix equal in hessian", "what is the lambda value for information matrix equality", "what does the information matrix equality represent", "what is the lambda of information matrix equality", "what is lambda in a distribution", "does information matrix equality depend on lambda", "is the lambda parameter the same as the lambda", "can the information matrix be used to find lambda values", "what is lambda hessian", "what statement represents the equality of the hessian information matrix" ]

[ "what is the assumption of two way anova", "what does two way anova assume", "what are the assumptions of a two way anova", "how to explain two way anova?", "which anova assumes that the residuals inside each cell are normally distributed with equal variance?", "what is the assumption of two way anova", "what are the assumptions of two way anova in multiple regression", "what is the assumption that all t-strains have the same variance", "which assumptions would be true for a two way anova", "what's the assumption that an anova is normally distributed?", "two way anova definition", "what are the assumptions of a two way anova?", "assumption of two-way anova", "what is the assumption of anova", "what is the assumption in a two way anova", "anova is assumed to have what", "what assumption is a two way anova", "what assumptions do you make when an anova is two-way", "what is the assumption of a two way anova", "which statement is a typical assumption of a two way anova?" ]

[ "Gibbs model of exogenous input", "Gibbs sample", "what is gibbs sample", "gibbs sample", "what are gibbs samples", "Gibbs sample from a sequence of exogenous input is called", "what is the easiest way to sample gibbs model", "Gibbs sample", "what is the easiest way to use gibbs sample from an ar(1) of exogenous input", "gibbs sample", "how to find gibb's sampling", "how to find gibbs sample", "Gibbs sample from an AR(1) of exogenous input", "Gibbs sample", "how does gibbs sample", "what is gibbs sample", "what is the easiest way to test gibbs sample", "Gibbs sample in ari definition", "gibbs sample in apr(1)", "Gibbs sample of exogenous input" ]

[ "can you use the data set pattern mining?", "how to find a pattern in a small data set", "what is the target variable in oil production?", "what is pattern mining in a data set?", "what kind of predictor is the target variable?", "what is a small data set used for", "what is the target variable in pattern mining", "what are the patterns in a small dataset used for?", "how to predict wells", "what is pattern mining used for?", "what is a pattern mining dataset", "what is the target variable in pattern mining", "how to identify patterns in a data set", "where is the target variable for pattern mining", "what is the purpose of a pattern mining dataset", "which predictors affect oil production patterns", "what is a pattern mining data set", "why do you use a pattern mining data set?", "what is pattern mining", "how do you use a pattern mining data set to identify the direction of the features on the target variable?" ]

[ "which subjects responded significantly different between treatments", "aNOVA definition for subjects", "which subjects respond best to the treatments of a particular disease?", "what test is used to determine whether a subject responds significantly to treatments", "how to do an anova and compare treatment outcomes", "how to find differences of treatment", "which subjects respond differently to treatment", "what is the test of the subject", "which condition has a significantly different response to both therapy groups?", "how does anova test for depression differ between treatments", "which subjects responded significantly different between treatments?", "which treatment response is significantly different than treatment response", "what is the difference between test and anova", "how to compare subjects to test aNOVA", "how do you find the significantly different responses between a treatment and an ana", "what is the difference between a treatment and anova", "which subjects respond significantly different between treatments?", "how to find differences between treatments in the blood test", "how to compare anova in a subject", "which nave subject is better able to perform an anova" ]

[ "what is dcc dct", "mv garch dcc", "how to use dcc", "how to perform garch dcc with t test", "garch dcc test", "why use garch dcc vs garch?", "what is a garch dcc", "weighted dcc for t test", "what is garch dcc test", "how to use dcc in mv curves", "can dccs be used as t test", "what tests are used to test t-statistics", "weighted dcc", "what is the use of garch dcc dcc", "can gard dcc be tested", "how does the curve vs the curve of the dcc", "what test to use for a t-test", "when dcc is used to evaluate different time series", "what is garch dcc", "why use garch dcc" ]

[ "what does a notation mean in koller's book", "what does the in koller's book mean", "what does the notation $ mean", "what is the notation of and in koller", "what does the notation for koller's book mean?", "what does the comma in an example mean?", "what is the notation for textbf x", "what does $(textbf", "what is the notation for probability", "what is the meaning of the notation in koller's book", "what is the meaning of koller's notation", "what is the notation for $(textbfxperp textbfy", "what is the notation of koller's book", "what is the notation of koller's book", "define: koller's decomposition rule", "what koller's notation mean", "what is the notation for text bffy", "what is the notation for decomposition", "what is the notation between the random variables and decomposition rule", "koller's probabilistic graphic models what it means" ]

[ "what is conceptual framework of antecedents and consequences?", "which two factors affect antecedents", "why use structural and cfa models", "what is the difference between a structural model and a cfa?", "what is the relationship between the structural and antecedents framework", "is there a difference between the structural and the antecedent framework", "antecedent and consequences structural model", "what is structural model vs cfa", "structural model and cfa", "antecedents structural modeling", "how to perform structural model in a cfa", "what is the relationship between a structural model and an antecedent", "what is the purpose of structural model and cfa", "what factors affect antecedents in structural models", "what is the difference between an antecedent and a structural model", "what is structural models and antecedents", "what is the difference between an antecedent and a structural model?", "difference between a structural and cfa model", "how many factors in a cfa", "difference between structural and antecedent model" ]

[ "are inferential stats in the same way as retrospective stats", "what is inferential stats", "what is the type of test for hearing outcomes", "are inferential stats useful in a retrospective study?", "what is the independent and dependent variables of a case study", "what is an example of a case study", "why do you use inferential statistics", "are inferential stats an experimental design", "what is the data in a clinical psychology case study", "what is the difference between experimental and inferential stats in case study", "which of the following is a retrospective analysis of speech and hearing", "how to design a case study on ear surgery", "what is the inferential power of the study", "when should inferential stats be used", "which of the following is a retrospective case study?", "what type of study uses a power calculation", "what is the inferential stat when conducting a study", "how do you do a retrospective case study", "what is the ear condition as a power", "how do i do retrospective study in psychology" ]

[ "which term probabilities are most influenced by term frequency?", "which term frequency is closest to the reference corpora", "what's the distance between data sets called?", "what is the metric used for comparing a term frequency distribution of a sample to a reference corpora", "which data set is the shortest distance between the data set and the reference corpora", "what term frequency is the strongest in relation to the reference corpus?", "what is the distance between the term probabilities of a sample and the reference corpora?", "what is the best metric for calculating the distance between the term probabilities of a sample and the reference corpora?", "why is $a$ favored over $b$", "what is the best metric to measure the distance between the term probabilities of a sample and a large corpus", "how does term frequency differ from reference corpora", "which term-frequency distribution would be closer to the reference corpora?", "which term probability is best", "what is the metric for comparing the distance between the term probability of a sample and a reference corpora?", "what is the best distance between a sample and the reference corpora for the term-frequency distribution?", "which datasets are closer to the reference corpora?", "what is the best metric to compare the distance between a large sample vs a large corpora?", "what is the metric measure distance between a dataset and a corpora", "which word frequency metric is the best", "how to compare term frequency distribution" ]

[ "python what packages can work with gmms", "what software do you use for gmm", "what is gmms", "different tools to use with mixture model", "different ppy packages for gmms", "what python package is used for gmms", "what is gmm software", "what is the best python package for gmm", "what package uses gmms", "which python package supports gmms", "what kind of model do python use", "what is gmm modeling", "pypy for gmms", "which gmm software is needed to use python?", "pypy to use gaussian mixture model", "what python package is for gmms", "which package is used for GMMs?", "what is gmm modeling in python", "what python software works with gmms", "what is the gmms python" ]