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[ "confidence intervals definition of a prediction", "how to construct confidence intervals model", "what are confidence intervals in a predictive model?", "how to construct confidence intervals in a linear model", "what are confidence intervals", "what is confidence intervals in predictive models", "what is the confidence interval of an insect", "what is the confidence interval for constructing a model", "what is confidence interval in a model", "which of the following is the confidence interval for a model", "how to construct confidence intervals", "what is confidence intervals", "what is the confidence interval", "when to construct confidence intervals", "how to construct confidence intervals in modelling", "how to construct confidence intervals for predicting insects", "how to determine confidence interval of a model", "how to construct confidence interval", "how do you calculate confidence intervals", "how to construct confidence intervals in predicting insects" ]

[ "how many cv components are there in an example", "what is the minimum number of components in cross validation", "what is cv error on principal components", "when selecting principal elements, what is the minimum", "which cv is the minimum in sql", "minimum number of components", "how do i calculate the number of components in a cross validation", "why would i choose an optimal number of parts for a linear model", "when to use a minimum cv", "how do you determine the number of principal components of a linear model", "how to select the number of a component in a model", "what are the maximum number of cv components", "what is the minimum range for a crossval", "how many components in a cv", "what is the minimum number of components for a linear model", "what is the maximum number of principal components in sql", "how many components are used for a cross validation", "what is the minimum of principal components in a linear model", "how many components of a linear model", "which number of cv components does cv" ]

[ "how to normalize an income data set", "can a neural network normalize one new data set", "how to normalize a new data set", "why should the classifier be normalized", "what is a normalization", "when should a classifier be normalized", "what is normalization in classifying", "what is normalization of income in neural networks", "how should data be normalized", "which method is used for normalizing and classifying a training set of data?", "how should a neural network be normalized", "why is it important for neural network to be normalized for a new data set to be classified?", "why do you need data normalization", "why is the data analyzed when a new data set is normalized", "how should data be normalized", "when should you start normalising a new data set", "what is normalization of a data set", "when do you normalize new training data set", "when is normalization of new income data required?", "what is normalized data and classification" ]

[ "when you correct for multiple comparisons, what is the correlation of the two variables?", "why do we use multiple comparisons in regression", "how to correct for correlations", "what is two sets of variables used in correlation", "if a variable is associated with two sets of variables in an equation, does this correlation have to be corrected?", "how do pairwise correlations work in a data set", "how to correct multiple correlations", "can you correct a pairwise correlation with multiple comparisons?", "how do you correct for multiple comparisons in a t-test?", "do you correct for pairwise correlation in mnr", "how often to correct for multiple comparisons in a set", "how to correct for correlations", "what variables are correlated", "what to use for multiple correlations", "which variables can be corrected for a pairwise correlation", "how to correct for multiple comparison in a pairwise correlation", "why pairwise correlation is necessary", "how do i correct for multiple comparisons", "why do pairs of data need a multi-comparative correlation", "how to correct for a pairwise correlation" ]

[ "which variable is used in logistic regression", "what is the value of verx_s", "logistic regression recoded variable", "can you recode an independent variable to a binary dependent variable", "which variable can be recoded for logistic regression", "which variables are considered independent and dependent", "_____________________________ is a non-origin dependent variable. why recode the variable to the target mean?", "what is the difference between ordinal and logistic regression", "how do i recode an independent variable for logistic regression", "which recode variable in a logistic regression model", "why do you need to recode the independent variable", "how to recode ordinal variable in logistic regression", "which is a normal dependent variable", "what is the importance of recoding ordinal variable for logistic regression?", "what is the difference between vdr and dvr?", "what is target mean of an ordinal variable", "what is the difference between a dv and a binary variable", "which variable is a continuous variable?", "what is the difference between an ordinal and a binary dependent variable?", "what is the purpose of recoding a variable into a variable in logistic regression?" ]

[ "how to derive the alpha in pareto", "what is the intuitive way to find the alpha for which the 80/20 rule holds?", "how to derive the alpha for pareto x distribution", "what is the intuitive way to find the alpha for which the 80/20 rule holds?", "where to find the alpha for the pareto distribution", "how to derive the alpha for a pareto rule", "which rule derives its alpha from the pareto rule", "how to derive the alpha for the pareto rule", "how to derive the alpha for the pareto rule", "what is the intuitive way to find the alpha for which the 80/20 rule holds?", "how to derive the alpha for pareto rule", "which rule derives the alpha of the pareto distribution?", "which rule is used for the pareto distribution", "how to derive the alpha for the pareto rule", "how to find the alpha for the Pareto rule", "how to determine the %alpha for a pareto rule", "pareto rule how to find the alpha", "how to derive the pareto rule", "which rule would be the appropriate for the pareto distribution", "how to derive the alpha for the pareto rule" ]

[ "what is the best way to check the relationship between the groups and the continuous variable?", "what's the best way to check the relationship of the groups with the continuous variable.", "which describes the relationship of categorical variable to continuous variable?", "what is the best way to check the relationship of the groups with the continuous variable?", "what is the best way to test the relationship of the groups with the continuous variable", "what is the relationship between categorical and continuous variables?", "what type of variable is a continuous variable", "what is the relationship between categorical and continuous variables", "what is the relationship between categorical and continuous variables", "which describes the relationship between categorical and continuous variables?", "what's the best way to check the relationship between the groups and the continuous variable?", "which variable is best for categorical or continuous variables?", "what is the relationship between categorical variables and continuous variables that is derived from this model?", "which continuous variable has best relationship between categorical variables and continuous variables?", "how are the continuous and categorical variables related", "what is the relationship between categorical and continuous variables", "what's the best way to check the relationship between the groups and the continuous variable?", "what is the best way to check the relationship between the groups and the continuous variable? matlab", "which type of variable is the continuous variable in a multivariate model", "how to tell if a continuous variable is categorical and categorical?" ]

[ "power test underestimating power", "what is the power of a Fisher exact test", "which simulation of fisher's exact is underestimating power?", "what is power.prop.test", "what is the simulation power", "what is power.prop.test", "if the simulation of fisher's exact is overestimating the power, the effect would be", "what is the power of fisher's exact testing", "how to calculate power of a fisher's exact test", "what is the power of a Fischer's exact test", "how to calculate error for fisher's exact test", "what is power calculation", "how to calculate a power calculation in a simulation", "how much does fisher's exact test underestimate power", "when can you estimate the power of fisher's exact", "how to test a fisher's exact test", "what is the power of the Fisher exact test", "can you estimate the power of a simulation", "how to calculate power in Fisher's exact", "what is the sample size of fisher's exact test" ]

[ "is prior diffuse", "what is diffuse prior", "diffuse prior", "why is diffuse prior used in research", "why diffuse prior", "is a diffuse prior always strong", "diffuse prior definition", "why diffuse prior is useful for research", "is diffusion prior always strong", "when is a prior diffuse or diffuse", "when is a prior diffuse?", "why is a prior diffuse", "is a prior diffuse", "why is diffuse prior necessary", "is diffuse prior always useful", "which of the following is a diffuse prior?", "why is a prior diffuse?", "why are priors diffusive", "why is diffuse prior always weak", "why is it necessary to have diffuse priors" ]

[ "what is normal plot graph", "what side bands are used in a normal probability plot", "what is normal probabilistic plot", "what type of plot is normal", "what is a normal probability plot", "what is the dotted curve used in normal plots", "what side bands are used in a normal probability plot?", "what is the normal dotted curve called in statistics", "what is the normal plot called", "what are the normal sides in probability", "what is normal range plot", "what are normal probability plots called", "what are the sides of a typical normal probability plot called", "definition of normal plot in math", "what is the normal plot called in math", "what are the side bands called in normal probability?", "what are the dotted curves called and how are they calculated", "what are the dotted plots called", "what is the normal probability symbol called", "what is typical normal plot?" ]

[ "how to estimate survival probability", "what is the probability for survival", "what is the probability of survival in the survival analysis", "what is the probability of survival", "what is the probability of survival for one unit", "how to calculate survival time", "how do you calculate the probability for survival?", "when calculating survival probability", "probability survival survival", "survival probability", "what is probability of survival in time", "how to calculate probability for survival", "how to calculate t survival probability", "how to calculate probability of survival for time?", "time survival probability", "what is the probability for survival of a unit to survive the least time of day", "survival probability calculation", "how to calculate survival probability", "how to calculate survival probability", "how to calculate probability survival analysis" ]

[ "age group test", "when assessing age group differences, what type of aNOVA?", "age group differences aNOVA analysis", "what type of test would be used to test for differences", "when to test age groups", "what is the level of significance in an anova test?", "how are age groups measured?", "how do you test for age differences?", "how to test for differences in age group", "how to test differences", "at what level of significance would an anavera be used?", "what level of significance is an anova", "do age groups have an anova", "how to determine age group differences", "what is test for differences", "how to test for a difference", "what is the significance of an aNOVA in a child's height", "what is the aNOVA test used to test for", "what testing does aNOVA test for?", "at what level of significance will you test for differences" ]

[ "how do i combine probability", "what is the name of the equation to combine probabilities", "combining probabilities", "what is the equation that combines probabilities", "what is the name for the equation to combine probabilities", "what is the name of the equation to combine probability", "which equation is used to combine probabilities", "what is the equation to combine probabilities", "which of the following equations can be used to combine probability?", "what is the name of this equation for combining probabilities?", "what is the name of this equation to combine probabilities?", "what the equation to combine probabilities", "what is the name of the equation to combine probabilities? a. combining probabilities b. combining the probability of a given event c. combining the probabilities of a given event d. combining the probabilities of a given event d. adding the probabil", "what is the name for the equation to combine probabilities?", "what is the name of this equation to combine probabilities?", "define probabilities", "what is the name of the equation to combine probabilities", "what is the name of the equation to combine probabilities?", "what is the name of this equation to combine probability?", "what is the name of the equation to combine probability" ]

[ "r model for month_year", "how to make a model for profit in r", "how to use regression model on data", "how to form a predictive model in r", "how to develop predictive model", "when to use predictive model", "r how to form a predictive model", "how to form a predictive model in r", "when a data set is a monthly average", "how do you form a correlation model", "r how to form predictive model", "when you can form a predictive model, you will have _______.", "if one data set has two data points for each month of each year, how does each data set form a predictive model", "when to use correlation fit in r", "what is the correct approach for a predictive model", "can you develop a predictive model based on a month-month", "how to form a predictive model in r", "can r run a correlation model for a year", "r how to develop prediction in r data", "when can we develop a model predicting profit" ]

[ "what is the lag order in adl", "what is the lag order in adl", "how to use adl in statistics", "what is adl in matlab", "what is the adl lag", "what is autoregressive distributed lag model", "how to automate auto regression", "what is adl in java", "how to find lags in matlab", "how to check lag", "adl (p,q) example", "how to automate distributed lag", "what is meant by adl", "what is autoregressive distributed lag model", "how to find p,q model", "what is autoregressive distributed lag", "how to find lag order of distributed models", "can you find the lag order in adl", "what is the example for autoregressive distributed lag?", "what is an autoregressive distributed model" ]

[ "can you analyze independent samples", "is independent sampling good", "is independent sampling a valid sampling method", "assuming dependent sample", "which textbook is a good reference for machine learning", "which statistical method would use independent samples?", "what is good to know about the independence of a random sample", "if a variable is independent what is the best metric to use", "what is considered a dependent variable", "which statement is a good reference?", "why do machine learning algorithms use independent samples", "what is the definition of dependent variable", "what type statistics are used for the independent sample", "if a random variable is independent how to interpret", "is independent random sampling valid", "what is the reference for independent random variable?", "is assuming independence important in machine learning", "what is good about independent samples", "which statistical analysis assumes independent data", "why do machine learning algorithms use independent samples" ]

[ "what type of data can be used as cluster data?", "what is a vector of preferences", "how to cluster", "what is the role of the utility maximization theory", "which vector represents a utility profile", "how to cluster data", "what is the utility maximization of preferences in the data", "what is utility maximization theory", "what is utility maximization theory", "how to cluster a vector", "what is the purpose of vector clustering", "how to construct an integer cluster", "what type of data do you use clustering", "what is the purpose of each vector", "what type of data is used for clustering", "if two vectors differ, the preference profile", "what is the point of utility maximization", "which describes how the preferences vector relates the utility curve of the product?", "how do you get data clustering", "how to cluster a data set in a data warehouse" ]

[ "why remove intercept term in cross sectional regression", "which term in dynamic regression is biased in the forecast?", "why is the intercept in the dynamic regression model important?", "how to remove intercept terms in gdp", "does the intercept term bias a dynamic regression model", "why do you remove intercept in dynamic regression", "how to improve a cross sectional forecast in dynamic regression", "how to eliminate intercept term", "can i omit the intercept in dynamics", "why remove intercept in dynamic regression", "why remove intercept term dynamic regression", "is removing the intercept necessary for a forecast", "can we remove the intercept in a dynamic regression?", "why remove intercept term dynamic regression", "what to do if you exclude intercept", "when removing an intercept in a dynamic regression model what is the effect", "can i remove the intercept term in a dynamic regression", "removing intercept terms dynamic regression", "why remove intercepts in a dynamic regression model", "which of these intercepts does a dynamic regression analysis use?" ]

[ "why are observed effects important", "what is observables of cracks in a structure", "how to find observable and non observable causes", "what is the difference between observed effects and nonobservable causes?", "how to determine a causal association", "what is the difference between an observed and a nonobservable effect?", "what is an observable effect", "how to learn the relationship of an event between an observed outcome and a nonobservable outcome", "how to predict observable and non-observable causes", "how would learning affect the observed results of the model be used", "how many causes are observable", "can an observable cause cause multiple observable causes", "how many of the observable causes in a model could be trained?", "how do you learn the relationship between effects and causes", "what is the difference between observable, and nonobservable, and causal.", "predicting the difference between an observable effect and a non observable cause", "can a learning model assume a causal effect", "how to find the most likely cause of a crack", "how to find the causes of an observable phenomenon", "how many observable causes" ]

[ "hmm how to calculate likelihood", "how to calculate log likelihood in HMM", "how to calculate log likelihood for hmm", "how to get log likelihood", "how do you calculate log likelihood", "how to determine log likelihood", "what is log likelihood in hmm", "how to determine log likelihood from forward algorithm in r", "how to calculate log likelihood", "how to calculate log likelihood", "how to calculate log likelihood", "hmm calculate log likelihood", "how do i get the log likelihood for a hidden markov model", "hmm log likelihood r", "how to obtain log likelihood in hmm from forward algorithm in r", "how do i get probability in r", "how to find the log likelihood matrix", "how to get log likelihood from r", "how do you find log likelihood", "how to calculate log likelihood in hmm" ]

[ "if a variable has zero values, how to get a frequency in r", "what is poisson regression in r", "which r function can be used to find the frequencies of all the variables associated with a set of factors?", "how to measure the frequency of all factors in r", "is poisson regression able to get frequency", "which is an example of a parsimony model", "can parse r show frequency", "what is the frequency in poisson regression", "what is a poisson regression", "how to find frequency of all the factors in a r model", "which method is best for obtaining the frequency of all variables in r?", "what is the problem in probability in r", "what is the problem when doing a poisson regression?", "why is poisson regression used", "what is polynomial analysis r", "what is poisson regression", "how to determine frequencies in polynomial regression r", "how to get frequencies in paris regression", "what is poisson regression", "what is the problem with poisson regression" ]

[ "how to write a loop", "r how to run a loop to validate multiple regression models", "r coding definition for multiple regression testing", "when to use the loop in r to select multiple regression models", "when you do regression testing how to select the correct model", "what is r loop in python", "which r program selects each model", "how to use r to select model based on training", "how to run r mse", "r is a loop to select a model", "how to make an r loop with a model?", "how to write loop in r to select a model", "how to run a loop in r", "how to do a cross validation in r", "how to run a loop in r", "which r program will select model using the best model selection method?", "why do you run a loop in r", "how to write a loop in r", "how to do a loop for cross validation in r", "how to make a r program select models" ]

[ "what is the name of a bayesian posterior probability?", "what is p posterior probability", "what's the bayesian definition of posterior probability", "Bayesian posterior probability definition", "what is a probability? what is the name of the prior probability?", "what is the name for the bayesian posterior probability?", "what is the name of the posterior probability for a logistic regression", "what is the name of the bayesian posterior probability?", "which probability is larger than the posterior probability that a regression coefficient would be larger than zero", "which statement represents a bayesian posterior probability?", "which probability is larger than the p value of the p value", "what is posterior probability of regression", "which statement relates to posterior probability based on bayesian logistic regression?", "bayesian probability p", "what is the name for posterior probability?", "what is the name of the probability that a regression coefficient is larger than zero", "bayesian posterior probability definition", "Bayesian probability of regression", "name of posterior probability for logistic regression", "what is the name of the bayesian posterior probability" ]

[ "how would you present a prevalence rate", "how to present a prevalence rate", "how does prevalence rate", "define prevalence rate", "what would be a suitable way to present a prevalence rate?", "how is the prevalence rate presented?", "what is the prevalence rate for a disease", "what is a suitable way to present a prevalence rate?", "prevalence rate", "what is the prevalence rate for a disease", "what would be a suitable way to present a prevalence rate?", "what is the prevalence rate of some diseases?", "what is the prevalence rate of a disease?", "prevalence rate in epidemiology", "what would a suitable way to present the prevalence rate?", "what is the appropriate way to present a prevalence rate?", "what would be a suitable way to present a prevalence rate?", "average prevalence rate", "what is the prevalence rate in prevalence", "how to present prevalence rate" ]

[ "what is prediction interval in r c", "predict interval example in r", "how to use a prediction interval for logistic regression r package", "r how to calculate confidence intervals", "how to create a linear model with a random number", "how to generate intervals from a r model", "how to use a prediction interval in r", "calculate confidence intervals using linear regression", "how to compute a confidence interval for logistic regression", "how to produce a prediction interval in logistic regression", "how to calculate confidence interval for logistic regression", "how to calculate a logistic regression", "what is the prediction interval in logistic regression", "how to compute prediction interval", "how to generate confidence intervals", "calculate confidence intervals in logistic regression", "how to use a prediction interval in r", "how to find confidence intervals in logistic regression", "how to calculate a confidence interval in logistic regression", "r create a prediction interval for a logistic regression model" ]

[ "what is the use of cross validation", "why would cross validation change results", "which type of validation is used to validate model", "cross validation is used for", "cross validation definition mntl", "why does cross validation change aic", "why is cross validation useful?", "why cross validation is used", "what is cross validation in r", "what is model validation cross validation", "why is data validation cross validation", "what does cross validation mean in r", "what is the cross validation", "why do you have to perform cross validation in r", "what is cross validation", "what is cross validation", "why does validation work", "what is cross validation used for?", "what is cross validation used for?", "why is it wrong to use cross validation" ]

[ "can you correct variance in a pooled analysis", "how to calculate effect size", "do t tests protect from unequal variance", "can i calculate the effect size in a pooled variance test", "how to calculate effects of pooled variance", "can you test a gene for equal variance", "how to calculate effect size for all genes?", "does pooled variance correct for unequal variance", "how to determine effect size of a gene", "what is the correct way to measure effects from a pooled variance analysis", "how does pooled variance measure effect", "does pooled variance protect against unequal variance", "can you do the same with pooled variance", "how to do gene pooling", "how to calculate effect size in a gene pipeline", "how do you calculate effect size", "does pool variance protect from unequal variance when calculating effect size", "which test should be performed to determine the effect size of gene expression", "how do i calculate the fdr from the pooled mean of a gene", "how to determine the effect size on gene expression" ]

[ "why standardise - pool analysis", "standardising a distribution in a sample to determine bimodality", "what data is used to standardise?", "z standardisation definition", "what statistical analysis was used to assess the bimodality of a distribution.", "which standardization method is used to assess bimodality?", "why do we standardise", "which method is best to standardize data", "how does the standardised score for the bimodality coefficient help the researcher to determine the unimodality of the distribution?", "why is bimodality a statistical measure", "what is the standardised bimodal distribution", "how to use standardised scores for bimodal data", "how to standardise data", "when standardising data within participants", "what is the standardised pool analysis", "when is a z score pooled for a bimodal distribution", "what is the standardised distribution?", "why standardise data for bimodality", "what is standardised pool analysis in psychology?", "standardised pool analyses for z scores for behavioural studies definition" ]

[ "how to model a variable with a cumulative exponential relationship", "can you model two variables by a cumulative exponential distribution", "how to model two variables with a cumulative exponential relationship?", "how to model two variables with a cumulative exponential relationship", "how do you model a relationship between two variables with a cumulative exponential distribution", "what type of relation is a cumulative exponential relationship", "what is the best way to model two variables with an exponential relationship?", "how to model a cumulative exponential distribution", "how to model a variable with an exponential relationship", "how to model two variables with a cumulative exponential relationship", "how to model two variables with a cumulative exponential relationship", "how to model two variables with cumulative exponential relationship", "how to model variables with exponentials", "what kind of equations are used in an exponential curve?", "what is the best way to model a cumulative exponential relationship?", "cumulative exponential correlation", "how to model two variables in a cumulative exponential relationship?", "how do you model two variables with an exponential relationship?", "how to model two variables in exponential relationship", "which type of model is best used to model two variables with a cumulative exponential relationship?" ]

[ "what is an exclusion rule", "what is the mathematical way to define a point on a scatter plot as an outlier?", "definition of an outlier", "which math term is used to determine if a point is an outlier?", "which statement best describes the mathematical way to determine a point on a scatter plot as an outlier?", "what is a mathematical way to define a point on a scatter plot as an outlier?", "which statement describes how to make a point a discordant", "defining point of scatter plot as outlier", "how to identify scatter plot points", "what is mathematical way to define a point on a scatter plot as an outlier?", "what is a mathematical way to define a point on a scatter plot as an outlier", "definition and exclusion in a scatter plot", "can two outlier points be used to make an exclusion line", "what is the mathematical way to define a point on a scatter plot as an outlier?", "can you exclude two points on a scatter plot", "how to find out which point is an outlier", "can you define an outlier in an equation?", "when do you remove points from a scatter plot", "can two points on the scatter plot be exclusion points", "which point can be considered an outlier" ]

[ "what is the difference between the pre and post measures in a regression study using spss analysis", "what is used to calculate difference between test pre and post values", "how to find the difference between a post and a pre measurement", "how to set the pre test in spss", "can spss show the difference between pre and post measures", "can you compare post value for test", "how to find difference between pre and post", "how to set test differences in spss", "how to calculate pre, post and post values for multiple test", "can i do multiple measure", "how to find difference between treatments in spomascs", "how to show the difference of pre and post measures in spss analysis", "difference between pre and post measures in a b treatment", "what is test post in spss", "what is the difference between pre and post measures in b?", "difference between pre and post measurements in spss", "why are pre and post measures different on spms", "how to set post value in spss", "how can i tell which measures of a session are different", "difference between post and pre measures" ]

[ "which type of test is used to analyze multiple observation", "which analysis of data is appropriate for within a contingency table?", "what type of test would you run on a 2x2 contingency table", "how to do between-subjects comparisons in a contingency table", "what tests are used in a contingency table", "what test is used for the analysis of a contingency table", "what tests are used in a 2x2 contingency table", "which test is used to compare a control and a contingency table", "what type of test for within subjects", "when to use the mcnemar test", "what type of test is mclear's exact", "which contingency table for statistical analysis is used", "what is the best way to use the mckemar test", "what type of test to use with a 2x2 contingency table", "what test is used to compare a contingency table data", "why use yates correction", "when to use mcnemar's exact", "which contingency test is the most accurate for within subjects data", "which analysis for two items", "which test is used in in-subject statistical analysis" ]

[ "why sas remove outlier variables", "what makes outliers in cluster analysis", "how to cluster variables in sas", "why do sas cluster variables", "can you delet outliers", "which variable contains outliers", "can cluster variables be used as outliers", "is it necessary to use outliers for cluster analysis", "why is it necessary to remove outliers", "clustering variables", "cluster variable with outlier", "why cluster variables with outliers", "what is the difference between group, cluster, and outlier for cluster analysis sas?", "what is clustering variables", "why is clusters considered outliers", "how to cluster variables", "clustering outliers in sas", "can outliers be excluded in cluster analysis", "sas how do clusters work", "can you eliminate outliers in sas" ]

[ "why use hidden markov model", "what's the difference between expectation maximization and hidden markov models?", "why are assumptions about hidden markov models important", "what is hidden markov", "what is hidden markov algorithm", "how is hidden markov models related to expectation maximization?", "why hidden model is used to calculate expectation maximization", "how is a hidden markov model related to prediction", "what is expectation maximization and hidden markov model?", "expectation maximization algorithm and hidden markov model", "what is hidden markov mean", "why is expectation maximization a hidden model", "what is the function of the hidden markov model in expectation maximization algorithm", "how is expectation maximization related to hidden markov models?", "how are hidden markov models related to expectation maximization?", "why use hidden markov models", "why is expectation maximization important", "how are expected maximization of hidden markov models related", "how is expectation maximization related to hidden markov model", "how is expected maximization algorithm related to hidden markov model" ]

[ "what is the meaning of.08 in logistic regression", "what is a wyoming", "how do i interpret the value of exp(b)", "how does exp(b) work in logistic regression", "what is the measure of wyoming", "what is a binary regression", "what is means of state", "what is wyoming mean mean mean", "how to interpret exp(b)", "iv state vs exp variable", "how to interpret the state exp(b)", "how do I interpret exp(b) in logistic regression", "how to interpret exp(b) for logistic regression", "how do you interpret a exp(b) variable", "how to interpret exp(b)", "how do you interpret exp(b)", "how do you interpret exp(b)", "how to interpret exp(b)?", "how to interpret wyoming variable", "how to interpret exp(b) in regression" ]

[ "what is an example of a symmetric distribution?", "what is the difference between a symmetric and a normal distribution?", "which is an example of a distribution with symmetric distribution", "what are distributions similar to normal", "is distributions similar to normal distributions", "which of the following is an example of a distribution similar to a normal distribution", "difference between normal and symmetric distributions", "what is the difference between a symmetric distribution and a normal distribution?", "what type of distribution is a symmetric normal distribution", "what kind of distribution is similar to a normal distribution", "what is a distribution with symmetric mean - variance", "symmetry distributions example", "what is an example of a distribution that is similar to normal", "what is the opposite of a normal distribution", "what type of distribution is similar to a normal distribution?", "distributions similar to normal", "what is the difference between symmetric and normal distribution", "what is a symmetric distribution example", "which distribution is a symmetrical distribution but more dense and concentrated around mean", "what is an example of a distribution" ]

[ "what kind of regression is support vector", "what is support vector regression model", "which type of regression model uses a vector", "what is the preprocessing of a target vector regression?", "what is python support vector for", "what is the definition of notation in support vector regression", "which feature is preprocessed in support vector regression?", "what to use for a vector regression analysis", "what is the preprocessing of a vector?", "which is a useful input for support vector regression?", "which of the following are useful inputs for support vector regression?", "which of the following is the best practice for preprocessing of a vector model?", "what features would you specify for the matrix in support vector regression", "how to use vector regression", "which statement best describes the function of the python support vector regression machine?", "how to use support vector regression", "why is vector regression useful for time series", "how to do preprocessing of a vector regression model", "what is a feature matrix for a vector", "why do i have to do feature preprocessing in support vector regression" ]

[ "how to calculate day to day portfolio variances", "how to find large deviation in a portfolio", "how do we determine the magnitude of daily risk deviations", "how to calculate risk of portfolio", "how to find large daily deviations", "how to tell the difference between daily risk and daily variance", "what is the correct distribution of variance", "how to determine if portfolio is changing", "how to determine the range of volatility in portfolio portfolios", "how to find large daily deviations in portfolio", "how to find small deviations from previous month", "how to find significant deviation of portfolio value", "how to find portfolio variances", "how to determine td dev", "how to determine portfolio risk", "how to find variance in a portfolio value", "how to find large variances in a portfolio", "how is the std distribution calculated", "how do you find large deviations in a portfolio", "what is the difference between a zero and a normal variance on a portfolio" ]

[ "how to classify hand written data", "how does pca classification work", "how to use pca for classification", "how does pca work", "how many digits for pca", "how to classify digits pca", "how is pca used in classification", "how do you classify handwritten data in pca", "how to classify digits with pca", "how to classify digits in pca database", "how to classify handwritten digits using pca", "how do you classify digits using pca", "how to classify digits with pca", "how does pag work", "can pca be used as a classifier", "how to classify an array of hand written digits", "pca for classification", "how many digits for the train phase", "how to use pca", "what is the pca used for" ]

[ "what is a correlation matrix", "what is the correlation matrix used in confirmatory factor analysis?", "what is correlation analysis in research", "what is the correlation matrix used for in factor analysis", "what is the difference between correlation and correlation", "correlation is used instead of which method", "what is correlation matrix", "correlation factor analysis definition", "which factor is used to do a confirmatory factor analysis?", "which statement best describes the use of correlation matrix?", "how is correlation matrix used", "what is the significance of the correlation matrix in confirmatory factor analysis of a sample", "which analysis uses correlation instead of a correlation", "when do you use correlation matrix for confirmatory factor analysis", "does correlation analysis require a variance-covariance matrix?", "what is the difference between correlation coefficient and covariance", "what are the implications of adding correlation into a factor analysis?", "what is the correlation matrix used for", "what is correlation analysis", "what is the importance of correlation" ]

[ "what is standard error in a math term", "what is standard error and standard error in a sum of two poisson variables?", "what is the standard error of the sum of two poisson variable", "do you calculate standard error for a sum of two poisson variables", "how do you calculate the standard error of a sum of two poisson variables?", "average standard deviation of a sum of a pair of poisson variables", "standard deviation of a sum of two poisson variables in a normal condition", "what do you use to calculate the standard error of the value of a standard error?", "does the standard error of a simple poisson variable include mean and standard error", "how do you calculate standard error in statistics", "what is standard error of a sum of two poisson variables", "what's the standard error of a sum of 2 poisson variables?", "how to find standard error of pos", "standard error of a sum of two poisson variables", "what is standard error of a sum", "how do you get a standard error", "what is the standard error", "how to calculate standard error of the sum of two poisson variables", "standard error of a sum of two poisson variables", "standard error of a sum of two poisson" ]

[ "what is the kde function in np", "what is kernel density in time series forecasting", "what is nonparametric time series", "what is the value of a kernel function", "is kde a kde", "how to use kde in time series", "kde definition time series", "which of the following methods is used when forecasting a time series?", "how to use kde to forecast a time series", "nonparametric time series", "why use kernel density estimation", "why use kernel density estimation", "kde time series", "why is time series data used for nonparametric analysis", "nonparametric time series forecast definition kde", "which method can be used to predict past time period?", "what is a nonparametric time series", "which r function is used to evaluate a quantum model?", "what is kde used for", "what is kde vs kernel" ]

[ "why do evaluation indexes have convex cluster", "what hypothesis is used for clustering cluster", "cluster definition in kmeans", "what is an evaluation index cluster", "what is the evaluation index hypothesis for clustering", "how does cluster clustering work", "what is the evaluation index hypothesis", "what kind of clustering hypothesis do researchers use?", "what does evaluation index assumes clustering", "which hypothesis is best tested for cluster analysis?", "is clustering an evaluation index", "clustering using evaluation indexes", "which hypothesis is used to evaluate clustering?", "which hypothesis is used in clustering", "what is meant by evaluation index for cluster analysis", "is evaluation index convex", "is evaluation index convex", "what is an evaluation index hypothesis", "what hypothesis does cluster evaluation test for cluster?", "how clustering test clusters" ]

[ "what is the best practice for plotting", "what is best practice plot", "when writing plots, what best practices should we follow?", "what kind of plots do plot editors create", "what is the best practices for plots", "what is the best way to plot", "what are best practices when plotting", "best practices plotting", "what kind of plot is best", "what good practices should i follow when preparing a plot", "which best practices should be followed when preparing plots?", "best practices for plots", "what is the best way to prepare a plot?", "best practices for preparing a plot", "what best practices should i follow when preparing plots? sam", "what best practices should i follow when preparing plots", "what best practices should a plot use", "who should I follow when preparing a plot?", "why should you create your own plot", "best practices for preparing plots" ]

[ "where is movement detected", "what is the range of a measurement to the nearest mm?", "what is it called when a measure shows movement", "how to know if data movement occurs", "how can you tell if something changed in a data set", "how to tell when something is going down in a data set", "how to tell if something happened in a data set", "can you measure movement in a data set", "can you detect movement in a data set", "how to check for movement", "when measuring movement of a data point what happens", "how much does a data set move when a normal measurement is taken", "how many time can i measure a meter", "how to tell if a point has moved", "what is the difference between mm and mm", "how often can i detect movement of data", "what is the mean of a movement in a data set", "how to measure a movement", "when data shows movement", "how to tell if something happened in a data set" ]

[ "what is the time difference in day and day", "how many days for hours in r", "when is the first day of r", "hourly measurements hours", "time series of measurements in r", "how to cluster time series", "what is the time for clustering in r", "what hours would you find based on the hourly average", "what time of day is measured in r", "how to cluster time series in r", "how to cluster time series of measurements in r", "what is the time for a cluster of time series", "time series of hours", "what is the difference between cluster and time series", "how to cluster a dataframe", "clustering day data in r", "time series of measurements in r", "time series clustering", "what is the time for clustering", "when do you cluster time series in r" ]

[ "which program is better for optimizing r or python", "does python have automatic differentiation", "what is the difference between r and python optimisation", "what is python better for optimization", "what is the difference between r and python", "which is better python or r", "which program optimizes the algorithm?", "is python good for optimization", "is python good for optimization", "what is python for optimization", "is python better than r", "how python compares to r", "what's the difference between r and python", "what programs are used for optimization", "what is r vs python for", "what is python used for", "what is r vs python used for", "is r good for optimization", "why is r used for optimization", "r vs python definition" ]

[ "why is the abalone data correlated", "what would a correlated data mean", "what is the correlation between abalone data", "what is the correlation of alabama rings", "what does correlated mean in r", "what is the correlation of a dataset in r", "what is correlated data", "what is corr correlation", "what does a correlated dataset mean", "what does correlated mean", "what is the correlation between abalones", "what does correlated mean", "when calculating correlation, how to find the number of rings", "what is the value of a correlated abalone", "how to find if the relationship is a correlated dataset", "how to find the correlated data in r", "r what does correlated data mean", "what does a correlated value mean in statistics", "what is the correlation coefficient of a abalone", "what is the coefficient of correlation for abalone" ]

[ "which of the following is the first mention of f in a Bayesian spatial prediction?", "what's the f in spatial prediction", "what is bayesian spatial prediction", "what is the h of the bayesian spatial model", "what is f in probability", "spatial predictions definition", "how to determine f in biostatistics", "what does spatial prediction consist of?", "what's spatial prediction", "what is f in a statistical model", "what is f in probability?", "what's the term for a probability-based prediction", "what is the f function in the bayesian space model", "what is f? biostatistics", "what is f in spatial prediction", "definition of the space equation for spatial prediction", "what is the definition of f?", "what is f", "what is the definition of f?", "what is f in probability" ]

[ "what is the %pe of a forest", "what is random forest proof notation", "what does forest proof notation mean", "what does the word random forest mean in algebra", "how is the random forest proof notation used", "what does a random forest proof not mean", "what does e_theta mean in math", "what is random forest proof notation", "how do you write randomly random forest notation", "what does the y in theta in the equation mean", "what is the random forest notation", "what does random forest proof notation mean", "what is random forest proof notation", "what is random forest proof notation", "what does random forest proof notation mean", "what is the notation for forest", "what does random forest proof notation mean", "what does random forest proof notation mean", "what does proof notation mean", "what is the random forest notation" ]

[ "does least squares regression mean normal", "what is the least squares method used for", "do least squares regressions imply normality", "does least squares regression imply normality", "which method implicitly assigns normality to the errors?", "what does the least squares regression mean", "does least squares mean normal", "what is the minimum likelihood method and least squares regression", "does least squares regression require normality of errors", "does least square regression mean", "does least squares regression imply normality", "does least squares regression imply normality of errors?", "does least squares imply normality", "which method implicitly assigns the normality of the errors to the linear model", "does least squares represent normality", "which regression method implicitly assigns normality to the error(s)", "does the least squares function mean normal?", "how can you tell if the least squares method is correct", "what is the least squares regression mean", "do least squares require normality" ]

[ "what is the difference between a simple logistic regression and a mixed effect model", "what is the difference between a simple and a mixed effect logistic regression?", "which logistic regression is used for simple regression?", "how to choose between simple and mixed effect logistic regression", "what is the difference between simple logistic regression and mixed effect regression?", "which is better logistic regression or simple logistic regression?", "what are logistic regressions used for", "how do i choose between a mixed effect logistic regression, linear regression, t-tests and logistic regression?", "how do you choose between a simple logistic regression and a mixed effects logistic regression?", "how to choose between the glmer and mixed effect logistic regression", "how do you choose the difference between a simple and mixed effect regression?", "which is easier logistic regression or mixed effect logistic regression", "what is the purpose for a mixed effect logistic regression?", "how to do mixed effect logistic regression in R", "what is mixed effect logistic regression?", "which regression model should you use", "how do you decide between a mixed effect logistic regression and a simple logistic regression?", "glmer function in logistic regression", "how to choose between mixed effects and simple logistic regression", "what is the difference between a mixed effect and a simple regression" ]

[ "what tool do you use to fit uncertainty", "what is power law fitting", "what python is better than r for fit", "what is the power law for uncertainty fitting", "what to do when you need to fit a power law?", "what is curve fit python", "power law fitting uncertainty", "what is a power law fit", "power law fitting uncertainty", "what is power law fitting", "what type of power laws do you use to fit the log?", "what type of data is needed to be fitted directly on a power law", "can you use data to fit a power law", "what is python curve fit used for", "what is power law fit", "what power law to use when fitting data", "can you fit on a power law", "power law fitting uncertainty", "what to use for power law fitting", "power law fitting in python" ]

[ "if the value of a function is larger than the sum of the squares, then the function of a truncated pair is?", "mr. how to figure the value of the sum of squares", "what is the limit on a function", "what is the sum of squares constraint", "how to estimate sqr", "how to approximate g in math", "what is the sum of squares constraint", "can we estimate sum of squares", "what is the standard deviation for sum of squares constraint", "calculating the squares of a sum of squares", "what to do with the constraint regularisation of squares", "sum of squares constraint regularisation", "what is the condition for sum of squares", "what is the sum of squares constraint", "how to estimate g_0 in algebra", "how to constrain the fit for math equations", "what are the constraints of arithmetic", "how to find the value for orthonormal function mathbb", "what is a constrain value", "what is the regularisation of a sum of squares?" ]

[ "what is the difference between tx and coef", "what is the difference between temp and coef", "coxph model", "what type of model is coxph", "which model is used for interpretation of coefficients", "cox proportional hazard model", "how to interpret the coef in a coxph model", "coxph definition and interpretation", "what is the definition of coef", "definition of a coxph", "what is the output of the coxph model?", "cox proportional hazard model", "what is r coef", "what is the formula of coxph", "cox proportional hazards models", "what is the coefficient of a coxph model?", "what is the coefficient of coxph", "x coxph model definition", "what type of hazard is a coxph model in r", "definition of coxph" ]

[ "what is meant by the term multivariate analysis?", "what is the pca for multivariate analysis", "how to do multivariate multivariate analysis", "pca is a function of", "how to do multivariate analysis", "what is multivariate analysis of a linear model?", "how to do multivariate analysis and pca", "how do you do multivariate and pca analysis", "which variable in x can be roughly independent?", "how do you do multivariate analysis", "what is the multivariate analysis?", "can you do linear multivariate analysis", "what is pca for multivariate analysis", "what is the principal axes in a multivariate analysis?", "what is multivariate analysis used for", "what is multivariate analysis called", "which factor of a nonidentity matrix can be the best pca for an x scalar?", "how to do multivariate analysis of multivariate matrix", "what is the pca used for", "what type of matrix would you use to do multivariate analysis" ]

[ "how to solve an equation with two variables", "how to calculate lagrange multiplier", "what is the lagrange multiplier for math", "what is lagrange multiplier and what is solution", "how to calculate lagrange multiplier formula algebraically", "how to solve a algebraic equation with three variables", "equations with more than two variables", "lagrange multiplying equation", "what is the solution to the algebraic equation hat a$", "how do i solve the lagrange multiplier equation", "equation with more than two variables and how to solve it", "what is lagrange multiplier equation", "how to estimate lagrange multiplier", "how to estimate an equation with a variable with a lagrange multiplier", "how to estimate lagrange multiplier", "what to do with lagrange multiplier", "how to solve a lagrange equation", "solve an equation with more than two variable", "how to solve an equation using lagrange multiplier", "how do you solve an equation with multiple variables" ]

[ "how to make correlations in r", "how to make a correlation plot", "why do i need to make correlation plots with missing values", "how long are the vectors of the correlation plot", "how to get correlation plots", "how to make linear correlations", "how to make correlation plots in r", "how many observations are in a vector in r", "what is length(x) x length(y)", "how can you make a correlation plot in r", "correlation plots with missing", "how to make a correlation plot with missing values", "can r make a plot with a correlation", "if all vectors are different, how many observations are in a correlation plot?", "how to make a correlation plot in r", "what is the value of the vectors in a correlation plot", "can r make correlation plots", "how do i make a correlation plot with r", "how to make correlation plot in r a vector", "can r make correlation plots in a linear model?" ]

[ "how to normalize the range of a time series", "how to normalize two time series for comparison", "how to normalize a time series", "how to normalize time series", "how to normalize two time series for comparison?", "how to normalize two time series", "normalize two time series for comparison", "normalization of two time series", "how to normalize two time series for comparison", "normalize two time series", "how to normalize 2 time series to compare them", "a(i) b(i) is mean in normal range", "how do i normalize two time series", "how to normalize time series", "how to normalize two times", "how do i normalize two time series", "how to normalize two time series", "normalized time series definition", "how to normalize a time series", "what does the normalized mean mean mean mean" ]

[ "who are bayesian bandits with delayed rewards", "why are bandits used for headline optimization", "what is the bayesian bandit", "who is a bayesian bandit for headline optimization?", "bayesian bandits with delayed rewards", "what does bandits mean", "what kind of bandstits", "what is bayesian bandits", "who are bayesian bandits and who have delayed rewards?", "what is ucb1 ucb2", "which bandit has the delayed reward", "who are bandits", "how to do a bayesian bandit test", "why is it called a bayesian bandit", "what kind of bandits are bayesian bandits", "what is bayesian bandits for", "bayesian bandits with delayed rewards", "what are bandits", "why are bandits delayed", "what is the bayesian bandit and when is it delayed" ]

[ "how to correct sample bias", "how to remove bias from sample", "how to remove sample bias", "is it possible to correct sample bias?", "how to correct sample bias", "which variable is negative because sample bias", "how to rebalance a sample", "how is rebalancing sampling bias calculated", "how to correct sample bias", "how to correct bias in rn", "how do you remove sampling bias", "what to do when you have a negative data set?", "how do you remove sample bias", "how to correct sample bias", "how should a sample bias be corrected? p", "how to correct sample bias", "how do you get the samples to be positive and negative", "if the sample bias is correct how to remove it", "how to correct sample bias", "what is the correct way to remove sample bias" ]

[ "what is cross validation of neural network", "do you use k-fold cross validation", "when do you need k validation for neural networks?", "which validation set do i need in k-fold", "when do i need a validated k", "why use k cross validation", "when is cross validation kfold", "kfold cross validation", "what is kfold validation", "when do you need to create kfold cross validation", "when does k fold validation need a separate set", "what is cross validation", "which validation set is needed for k-fold cross validation?", "what is kfold validation", "what is k-fold cross validate", "when using k-fold cross validation for neural networks, are separate validation sets also used", "what is k-fold cross validation", "when to use the k-fold cross validation", "can neural networks use kfold", "what kind of cross validation is used on neural networks" ]

[ "how to cluster a time series sample", "how does cluster analysis work", "do clustering analysis in 2d data work", "can you do cluster analysis on 2d time series?", "what is the point of cluster analysis for time series", "why would I use cluster analysis on a time series", "can cluster analysis be a technique", "why do you cluster analyze time series", "time series cluster analysis", "which time series is a good time series to use cluster analysis", "how is cluster analysis done on time series?", "cluster data in time series for temperature", "cluster analysis for time series", "can you do cluster analysis on time series", "why would cluster analysis be needed on each time sample", "what does cluster analysis on time series data do", "do you have to conduct cluster analysis", "which time series are clusters used for", "cluster analysis for temperature", "what is cluster analysis in 2d data" ]

[ "which factor can be used in factor analysis with matlab", "what is the factor analysis used for", "what is pca factor analysis mean", "what is factor analysis based on matlab", "what is the mean of covariance matrix", "factor analysis matlab results", "pca vs factor analysis", "what is the difference between pca and factor analysis", "what is the sorted factor in matlab", "what is the pca in math", "what is the pca value of x and x", "what is the pca and ta", "how to do factor analysis in matlab", "what is the pca factor", "what is step pca in math", "factor analysis in matlab meaning and example", "what is the difference between pca and factor analysis", "what is pca factor", "what is the formula for factor analysis in matlab", "how to do factor analysis in matlab" ]

[ "which function selects lags", "how to select lag order in ur.df in r", "what is p lag", "what is lag in.df", "what is the lag order in ur.df", "how to use ur.df to test stationarity", "how many lags does ur df test use", "what is lag order in ur.df test", "what is lag order in adf", "adf test lag order", "ur.df function lag", "what is the lag in adf.test", "which of the following functions will check stationarity?", "what is ur.df for adf", "what is the lag order in ur.df", "adf lag order", "what is the lag order in adf test", "when using adf.test which function selects the lag order using some criterion?", "which statement represents a lag order in ur", "which function in ur.df selects the lag order?" ]

[ "time series econometrics definition", "which of the following is a characteristic of stata? quizlet", "what data is in stata", "which stata model is used to find autocorrelation?", "how to analyze trends using stata", "can stata be used in time series", "what are statistics examples", "what is stata example", "what stata example", "what is an appropriate material to do stata work?", "what is stata example", "what is the purpose of stata data", "what is stata data example", "stata sample", "what stata data type is trending", "how to use stata in economics", "stata time series examples", "which stata is best to use to predict trending time series?", "what is stata used for", "what is the purpose of stata?" ]

[ "what is the correct formula for a probability", "if you know the probability of $X", "what is the function of each random variable", "which of the following probability functions is true of every random variable?", "calculate probability function of three random variables", "how to figure the probability function of a variable", "what is the correct probability function of 0?", "how to solve a probability function", "how can you find the probability of x in the cta", "how to find probability function", "calculate probability function of three random variables", "how to find the probability function for the probability of three random variables", "probability function of three random variables", "what is the correct probability function for a variable in p", "if x is 0 then pq is", "what is the correct probability function for x and u", "how to find the probable probability of $x", "what is the correct formula of calculating probability", "how to find probability of 3 random variables", "the probability function of three random variables is" ]

[ "why use hmm", "what is hmm in r", "what is a hmm model", "what is hmm used for", "what is a hmm model", "how hmm works", "how to use hidden markov model", "what is the use of an hmm in finance", "what type of model would detect trend", "why do we use hidden markov model for data", "why use hidden karma model in r", "what is hmm used for in r", "why use hmm", "how to implement hmm model", "hmm definition in finance", "what is hmm in finance", "what is a hidden model example", "what is hmm model", "what is hmm example", "what is HMM used for" ]

[ "how to determine gps points accuracy", "how to calculate gps points by weight", "how do i find the average gps point using a population of gps points", "how to determine the average gps point from a population of points", "how do I find the average gps point", "gps average weight", "how to find average gps point", "average gps points", "gps points average weight", "how do you determine gps point", "how are gps points different", "how to find the average gps data", "how to find gps point", "how to calculate the average gps point in the gps", "what is the average gps point", "what is the average gps point", "how to find the average gps point", "how to find the average point on the gps", "how to find out the average gps point", "how to calculate gps points" ]

[ "how to plot random intercepts in a lme model", "random slopes in lme models", "why does the dna count variable randomize", "how to use an lme", "how do i tell the relationship in the model of lme from a continuous stream", "random effects dna sequence in a stream", "where does lme random mean in data", "random effects in lme", "how to use random lme to measure dna", "what is lme random", "why do the streams in the model have random slopes", "which variable in lme is used to plot the random slope of the dna curve?", "which of the following is a model that allows random slopes in the lme data?", "random effects structure", "why does dna count randomly slope", "where is the random structure in lme", "what is the lme structure", "does dna count have random intercepts during a flow?", "random effects in dna model", "why does random slopes happen within a dna sample" ]

[ "how do you do a conditional probability distribution", "what is the conditional distribution of probability", "how to use a conditional distribution", "how to do conditional distribution", "what is conditional probability distribution", "what is the conditional probability distribution", "conditional probability distribution", "conditional probability distribution in statistics", "why is conditional distribution necessary for probability distribution", "what is the conditionality of the probability distribution", "how do you come up with a conditional distribution", "how to compute a conditional probability distribution", "when do you need to estimate conditional probability distribution", "conditional distribution estimation", "conditional model probability distribution", "how to compute a conditional distribution", "what is conditional probability distribution for predicting a continuous variable", "how to determine conditional distributions", "conditional probability distribution estimation definition", "how to determine conditional probability distribution" ]

[ "arima format p,d,q", "how do i say arima", "how to write arima model without backshift", "what is the backshift operator in a rima model?", "what kind of model is an arima", "what model is arima", "how do i state an arima model", "how to state an arima model in terms of yt", "what is backshift on arima", "what is an ramia model", "how to state an arima model in yt", "what is arima used for", "how to write argia model without backshift operator", "rama definition", "how to specify model in arithmetic", "when do I use the backshift operator in model p-dq", "what is arima(0,1,4)x(0,1,1)12 used for", "how to state an arima model", "what operator is used to state an arima", "what is arima" ]

[ "what is the probability of being undernourished", "what is the probability of being undernourished", "calculate the probability that an individual is undernourished based on the exponents?", "the probability of being undernourished for an insured person is", "how to calculate probability of being undernourished", "what is the inverse of probability undernourished", "how to interpret undernourished", "which variable is used to predict the probability of being undernourished?", "why is the probability of an individual being undernourished different than the probability of an insured person.", "what is the difference between undernourished and insured", "how to calculate probability undernourished?", "what is the probability of being undernourished in logistic regression", "if a probability of being undernourished is 0 then it is the probability of being undernourished.", "how do i calculate the probability of undernutrition", "calculate probability of being undernourished in logistic regression", "what is the difference between undernourished and overnourished in logistic regression", "what is the probability of undernutrition", "what is the difference between insurance and undernutrition", "how is the probability of being undernourished in logistic regression manipulated?", "what value is given as the probability of being undernourished for an uninsured person" ]

[ "how does the logistic regression model interpret", "how to interpret the predicted probabilities in logistic regression", "logistic regression probability definition", "how to interpret the predicted probability", "logistic regression model how to interpret predicted probability", "logistic regression how to interpret the expected probabilities", "logistic regression probability estimate", "how to interpret logistic regression", "how do you interpret a logistic regression", "what is the logistic model used for", "logistic regression how to interpret", "how do you interpret predicted probabilities", "when to interpret predicted probability", "logistic regression how to interpret", "logistic regression how do you interpret predicted probabilities", "what is the probability of being obese?", "how to interpret a regression model", "how to interpret probability", "logistic regression model how to interpret", "logistic regression how to interpret" ]

[ "can a probit be run on survival time", "can you run probit test on survival time", "can probit be ran in survival data", "can you run a probit regression on survival time", "can you run probit in survival time", "can you run probit on survival time", "can probit be run on survival time", "can probit be used on survival time", "can probit regression be run on survival data", "can probit be applied for survival time", "can probit be run on survival time data", "can you run probit on survival time data", "how to run probit in survival time", "can a probit run on survival time", "can probit regression be run on survival time data", "what is probit on survival time", "can probit regression be run on survival time data", "can i run a probit on survival time", "can i run a probit on survival data?", "what type of data can you run a probit on?" ]

[ "how to find p value of mutual information correlation", "how to find p value in r", "what is the p value of mic", "how to find p value of a mic", "how to find the p value and how to use the mic value", "what is p value of mic in r", "what is mic", "how to figure p value of mutual information correlation (mic)", "mic values in r", "how to find mic strength?", "r how to find p value", "p value of mic in r", "what is mic in r", "what p value does mic stand for in chemistry", "r find p value of mic?", "p value of mic in r", "mik strength example", "how to calculate p value in r", "how to find p value of mic", "how to find mic in r" ]

[ "what is the equation to predict svm classification?", "what is the equation for logistic regression", "what is equation for classification for logistic regression", "what is the equation for logistic regression", "what is the equation for logistic regression", "how is svm classify a new classification equation?", "what is the equation for logistic regression", "what is the equation for logistic regression", "what is the equation for logistic regression?", "what is the equation for statistical regression", "what is the equation in logistic regression", "how to easily classify weighted items in sql", "what is the equation for logistic regression", "what is the equation to calculate for logistic regression in matlab?", "what is the equation for svm classification", "what is the svm classifying equation", "how to find svm classifier for linear regression", "what is the equation for svm", "what equation is used to classify an input class", "what are the equations for logistic regression" ]

[ "r mi converge multiple imputation", "can a binary variable be imputation", "binary imputation command", "what is the imputation code in r", "if binary variable does not convergence", "how many iterations of mi were run?", "what imputation command does not converge", "how much time do you need to try multiple imputation of binary variables?", "can you imputation binary data", "r do multiple imputations of binary variables", "how long should an analysis last in r", "how many imputations can be performed with a binary variable", "how many times does mi(mydata) need imputation", "what type of variable would miss in r", "what is the command mi", "how to multiple imputation", "r how to perform multiple imputations", "can you imputation multiple numbers", "what is the command for imputation of data?", "r how to imputation multiple binary variables a listwise dct" ]

[ "what is job autonomy", "how would you rank a variable with job preferences?", "what is job autonomy?", "what is the construct of autonomy", "what is job autonomy", "which construct is the predictor of another construct?", "define characteristic preferences", "how to rank two characteristic preferences", "what is the difference between autonomy and autonomy", "which construct is closely supervised", "which of the following constructs would be closely supervised?", "how can the ranking of two job features be improved?", "why do i need a rank-ordered variable", "what is the relationship between job autonomy and job autonomy?", "which construct is the predictor of another construct in this dataset?", "which job characteristic is closely supervised", "how to rank and rank a job characteristic", "what type of construct would describe job autonomy?", "why is a job a variable", "what construct is closely supervised" ]

[ "how to generate binomial random numbers", "how is binomial random number generating algorithm", "what is binomial", "what is binomial number algorithm", "how to generate binomial", "what is the definition of binary random numbers", "what is the function of binary random numbers?", "when is binomial random number generated", "how does the binomial random number generator work", "generating random numbers using binomial", "can you generate binomial", "how to generate binomial random numbers", "how to generate a binomial random number", "how is the binomial algorithm useful", "which random number generator is useful for binomials?", "how to generate binomial number", "how to find binomial random numbers", "how to generate binomial random number", "lbl compiler to generate binomial numbers", "how to create binomial random number" ]

[ "what is random intercept in random experiment terms", "how to specify random intercepts in mixed models", "random intercept definition for different groups of subjects", "why do random intercepts work?", "can you specify random intercept terms for different sub-groups", "how to specify two random intercept terms for two sub groups of subjects within a mixed model? quizlet", "what is random intercept", "how to calculate random intercept in lmer", "random intercept definition", "how to find random intercepts lmer", "why random intercept for two sub groups", "what is random intercept for different groups of subjects? avg", "why use random intercept in lmer", "what is random intercept", "what is random intercept", "how can random variable be used", "random intercepts for different groups of individuals", "when you are able to specify two random intercept terms for a single mixed model?", "what type of intercept can lmer use?", "which of the following random intercepts is used by lmer?" ]

[ "what are the advantages of multinomial logistic regression", "binary logistic regression what is the advantage", "what is the advantage of multinomial logistic regression", "difference between binary logistic regression and multinomial logistic regression", "which is an advantage of multinomial logistic regression", "what is the difference between binomial and multinomial logistic regression?", "which is a disadvantage of multinomial logistic regression", "what are the advantages of multinomial regression", "what is the advantage of logistic regression", "what is the difference between binary and multinomial logistic regression", "which logistic regression is better multinomial or binary", "what is the difference between logistic regression and multinomial regression", "what is the difference between a multinomial and a binary logistic regression model?", "what is the difference between binary and multinomial logistic regression", "what r logistic regression", "what is the difference between multinomial and binary logistic regression", "what is the difference between a multinomial regression and a binary regression?", "what does multinomial logistic regression", "what is the difference between multinomial logistic regression and binary logistic regression?", "what is the difference between binary and multinomial regressions?" ]

[ "what is the difference between r and seed", "what is the function auc", "which function is used to test the model", "what are auc curves used for in r", "what is used to draw a curve in r", "how to run a r roc", "what is the method of testing different ROC curves", "what is auc", "what is the function auc in r", "what is the function of the ROC curve", "how do you get a rac in r", "what is the purpose of the ROC curve in r", "how to calculate a roth curve in r", "what function is used by a random number generator in r", "which function is used to check the accuracy of a model", "how to check the auc of a simulation", "r how to find auc in a simulation?", "r how to do a ROC curve analysis", "how to calculate the auc of a r model", "how to do different auc in r" ]

[ "what percentage is a cell with cancer", "what percentage of cells do you find in a tumour", "how many red cells in a human phenotype", "what percentage of cells are metastasized in tumour cell", "what are the phenotypes in cells", "how many red cells in an experiment", "what cells are a phenotype a", "which is significantly different phenotypes of different cells?", "what is the percent of cells that are in a phenotype", "which cancers have different phenotypes", "what percent of a cell is a cancer cell", "how many different tumour samples are produced", "what percentage of cells are present on a sample of tumour", "what is the phenotype of the sample", "what percent of the cell type is cytotoxic", "what is phenotypic a in a cancer?", "what percentage of green cells", "what is phenotype b in mri?", "how to tell if a cell has different phenotypes and colours", "what percent of cell types are green and blue" ]

[ "what is the range for the value value for $r", "what are the gaussian random variables and their mean values", "when the mean of a function is well-defined", "what is the value of $r", "what is the mean of the function of $R$ in math", "how to determine the mean of r in a gaussian function?", "what is the function of $r", "what is a mean function of a random variable", "which random variable must exist for the range r", "r_ is a function that is well defined and is independent of the random variable $k$", "how do you determine the mean of $r", "which random variable have the second largest magnitude?", "if the mean of a function of $k$ is well-defined,", "what is the mean of the functions of $r?", "what is the mean of the function of r$", "what is the mean range of $r", "what is the mean of $r", "how to find the mean of $r", "what would the function of $r be", "when a function of $r$ is well defined, the mean of the function must exist" ]

[ "what is the function of cumulative hazard?", "how to use cox proportional hazards in r", "what is the cumulative hazards of a coxph?", "what is cumulative hazards", "how to use the cumulative hazards function r", "which hazard function is inherently interlinked?", "where is the cumulative hazards function", "which is a cumulative hazard function", "cumulative hazards model", "what is the function for cumulative hazards", "r cumulative hazards", "what is the function of coxph", "what is a cumulative hazards model", "what is kaplan meier curves", "what is the cumulative hazards", "how to find cumulative hazards function in r", "what is the function of cumulative hazards in r", "how to find the cumulative hazards of a kaplan meier curve in r", "how to use cumulative hazards in r", "what is cumulative hazards in r" ]

[ "what is the best method of comparing multiple conditions in a paired study?", "how many participants per test condition", "repeated measures paired test", "what is the best method of paired randomized testing", "how to perform anova test using repeated measures", "when using repeated measures in paired tests what is the test purpose", "how to compare paired and repeating measures", "what to compare between two experimental conditions to test for repeatable measures", "how to compare two conditions and find the relationship", "how many participants in paired test", "what is the difference between a control and anova", "when does a paired test take into account a participant", "what is the best way to compare multiple paired test results?", "can anova be used to compare results", "what is used for paired tests", "which type of test is most likely to compare paired data in two conditions?", "repeatable measure test how many participants", "when using repeating measures, which test is used to compare the results of a paired test", "how many conditions are in a paired analysis", "how to analyze data in repeated measures paired test" ]

[ "what is weka in powercenter", "what is weka api", "what is powercenter rapid miner api used for", "what is quickminer used for in informatica", "can weka be used in informatica", "weka powercenter", "what is informatica weka", "can you use weka and rapid miner together?", "java transformation weka", "what is weka in informatica", "can i use weka in informatica powercenter", "can weka be used in informatica", "who can use weka", "can weka be integrated into informatica", "can weka be used with informatica powercenter", "what is weka api", "what is informatica java powercenter", "what is weka", "can you use weka in informatica", "can weka be used in informatica" ]

[ "what is the rig value in decision trees", "which condition requires relative information gain", "how to calculate rig", "where to calculate relative information gain for a rrig?", "how do we figure relative information gain", "how to calculate rig", "how to calculate rig value", "calculate relative information gain", "when to calculate relative information gain", "calculate relative information gain", "how to calculate information gain for a binary tree", "rig vs relative information gain", "how to find rig value", "how do i calculate information gain", "calculate rig value", "calculate relative information gain", "how to calculate rig in decision tree", "how can you calculate rig in a tree", "how to calculate relative information gain", "how to calculate rig" ]

[ "when can we exclude variables from a regression analysis", "why should i exclude significant controls from the model", "why do we need to exclude significant control variables from our study", "when should a controlled variable be eliminated from a study", "why not exclude a variable from statistical analysis", "what variables need to be excluded from the analysis", "why does dependent variable need to be removed from the statistical model", "should dependent variables be excluded in analysis", "do i need to exclude significant variables", "why is it necessary to eliminate significant control variables from a statistical study", "why do we eliminate control variables from the model", "when should i exclude an impact variable from my analysis", "why would we exclude the dependent of a variable from a study", "why do we have to exclude the control variables from our models", "why do you exclude significant variables from a statistical analysis?", "why do we have to exclude dependent variables from a statistical analysis", "when do i exclude a significant control from a model", "why do you exclude variables from a model", "why do we need to eliminate variables from a statistical analysis?", "do significant control variables need to be excluded from the statistical analysis" ]

[ "how to calculate zipf's law", "how to estimate traffic", "how do i estimate the volume of web pages per day?", "how do you get a cdf", "how do we estimate traffic to each site", "what is the estimate of zipf's theory of traffic", "how to estimate cdf", "how do i estimate a zipf param in statistics", "how to estimate web page traffic", "how many pages are required for a website", "what percent of a website receives traffic", "how many pages make up the world's web", "how to estimate web traffic", "how many pages does a web page have", "how to estimate the percentage of web pages", "how do we estimate traffic for a site on the web", "how to estimate the number of pages needed to get traffic", "how many pages are needed to estimate the average number of visits per page?", "how does zipf estimate pagerank", "how much traffic is required for web pages" ]

[ "how efficient is a spatial-location model", "how to build spatial model", "what is the spatial-location model", "why spatial pattern predictive", "how accurate is a spatial-location model?", "spatial time series prediction models", "how to find spatial location models", "how efficient is spatial-location/time series prediction", "spatial-location and time series predictive models are used to describe", "why is spatial location useful", "why can the spatial pattern of crime be used to generate predictive models", "what is predicting crimes based on a time and spatial location", "how accurate is a spatial model", "what are the three factors that influence crime", "what is spatial time series?", "which is a spatial location/time sequence predictive model?", "spatial-location time series", "how accurate is spatial location", "what is spatial location", "how efficient is spatial locust for crime" ]

[ "what is the difference between logistic regression and conditional probability", "logistic regression and mle difference", "what are logistic regression and conditional probability models?", "logistic regression vs conditional probability", "difference between logistic regression and mle", "difference between logistic regression and mle", "difference between logistic regression and mle", "logistic regression vs mle", "difference between mle vs logistic regression", "what is the difference between logistic regression and mle", "difference between logistic regression and mle", "what is the difference between logistic regression and conditional probability", "which statistical method is better logistic regression or mle", "what is the difference between logistic regression and mle", "difference between logistic regression and conditional probability model", "difference between logistic regression and mle", "when comparing mle and logistic regression", "logistic regression compared to conditional probability", "logistic regression definition for conditional probability", "logistic regression vs conditional probability" ]

[ "what is the best way to compute covariances in excel", "how to compute covariances in excel", "how to compute covariances", "how can i find the variance of a salm", "how to calculate covariants in winbugs", "how to calculate covariances in excel", "how to compute covariances in excel", "what is the best way to get covariances in openbugs", "how do i compute covariances in winbags", "how to find the covariances between a salm model", "how to compute a covariance in a salm model", "how would you do covariances between parameters?", "how to compute the variances between parameters in excel", "how to compute covariances between parameters", "what is the best way to compute the covariance", "how to obtain the covariances between parameters in ss", "how do you compute covariances", "wrig what is the formula if you do covariances", "when using a salm model how to get a covariance in terms of alpha beta", "calculating covariances in excel" ]

[ "which step should be taken when predicting the outcome of the study? explain.", "why would a study use a larger sample size and a longer prediction interval?", "which is a more accurate measure of an interval", "how to find the balance between the two variables in the regression model?", "which way to choose between increasing n and interpreting data accurately?", "can a model with a small sample size be used with a predictive model?", "which way do you make the choice between measuring t and increasing n?", "can you increase or decrease n in a linear regression test", "how do i know if the data in the dot points above is true or false", "why do you need to be more accurate when predicting x?", "which is better to increase or decrease n but measure y more precisely?", "which is better to decrease x or measure y more precisely", "how to choose between greater sample size and accuracy", "if the sample size is a bit small will it be better to increase n?", "which is better, increasing n or decreasing y", "which way would you measure x or y better", "why is it important to measure x in the dot", "what would be the best way to calculate the predictive accuracy of a regression?", "what is a more accurate sampling or a larger sample size", "why would an increase in x be better than decrease y" ]

[ "how to find level curve in r", "how to find the curves on a multivariate", "how to find the level curves in multivariate normal", "how do i find the level curves of a multivariate normal?", "how to find the level curves of a multivariate normal", "how to find level curves in multivariate normal", "what is the cdf r level curve", "r how find level curves", "how do you find a level curve", "how to find the levels in a multivariate normal", "find the level curve of a multivariate normal", "what is the cdf in multivariate normal analysis", "how to find a level curve in r", "how to find the level curve", "how to find the level curve for a multivariate normal", "how to figure out level curves of a nonlinear normal", "how to find the level curve of a multivariate normal in r", "how to find level curves of multivariate normal in r?", "what curves should a multivariate normal be in", "how to find levels of multivariate normal" ]

[ "what is the sample standard error formula", "what is the standard error formula", "what is the sample standard error formula", "what is the sample standard error formula", "what is the sample standard error formula?", "what is the sample standard error formula", "what is the sample standard error formula", "what is the sample standard error formula", "what is the standard error formula", "what is the sample standard error formula", "what is the sample standard error", "what is the sample standard error formula", "what is the sample standard error formula", "what is the standard error formula", "what is the sample standard error formula?", "what is the sample standard error formula?", "what is the sample standard error formula", "what is the sample standard error formula", "what is the sample standard error formula", "standard error formula example" ]

[ "roy model definition example", "what is the roy model", "what is the roy model", "roy property of conditional probability", "what is the standard normal conditional likelihood in the roy model?", "how to do roy model of the treatment effect", "roy model equation for treatment", "what is the conditional probability of the roy model?", "how to solve roy model", "how to derivate a conditional probability using the roy model", "what is the conditional probability property of the roy model?", "roy model of conditional probability", "roy model definition", "which conditional condition is implicit in the roy model", "how to find conditional probability in roy model", "roy model of treating", "what is the roy model", "what is the property of roy model", "what is the roy model used for", "conditional probability in roy model" ]

[ "what are the theoretical properties of a bayes point estimate and how can we test their fidelity over time", "is bayes a point estimate", "what are the theoretical properties of bayes estimates", "theoretical properties of empirical bayes estimation", "how can we find the theoretical properties of an empirical baes estimate", "what are the general theoretical properties of empirical bayes estimates", "what is theoretical property of empirical bayes estimates", "what would theoretical properties be used for an empirical bayes estimate?", "what properties of bayes point estimates are general", "what is the eb approach in probability", "theoretical properties of empirical bayes estimates", "which term refers to the general theoretical characteristics of empirical bayes eb?", "what is the general theoretical property of empirical bayes?", "what are the basic properties of the empirical bayes point estimate?", "what are the general theoretical conditions of empirical Bayes estimates", "what is the general theoretical property of an empirical bayes estimate?", "what are the theoretical properties of empirical bayes estimates? how do you describe the methods of the different methods of testing eb?", "which of the following is a general property of empirical bayes estimates?", "how to describe theoretical property of empirical bayes", "what is the eb approach" ]

[ "when to use r in predicting latent parameters", "which is observable or unobservable in the split poisson distribution", "r estimate latent variables in split poisson", "javax to estimate latent variables", "what is the latent variable of r in a poisson", "what is the latent variable of a split poisson distribution", "how to estimate latent variables", "what is the java package for latent variables", "which type of distribution is observable", "what model is the latent variable in", "what is observable versus unobservable", "what is the latent variable in the r2jags", "what is the latent variable value", "estimating the latent variables in a split poisson distribution", "which variable has the latent value", "restimating latent variables in a split poisson model", "what type of distribution is o_t", "what is the latent variable of a jag", "how to estimate parameters of a polynomial distribution", "a latent variable is an observable event in time" ]