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[ "how to find weibull distribution", "weibull distribution distribution fit", "what is the cdf of a weibull distribution", "weibull distribution distribution fit parameter", "what is the maximum likelihood weibull distribution", "what's the distribution fit", "how to fit weibull distribution", "weibull distribution distribution", "how does a weibull distribution fit", "weibull distribution fit parameters", "what is the maximum likelihood of the cdf a weibull distribution?", "how to find weibull distribution", "weighted average distribution with maximum likelihood", "why is maximum likelihood not fit", "weibull distribution fit", "how to find cdf of weibull distribution", "which parameter of weibull distribution is smallest", "what is gamma and alpha in weibull distribution", "what is the cdf value of weibull mean", "what is the gamma of weibull distribution" ]

[ "what percent of organic matter is in a sediment", "how many lakes are organic", "how to compare the relationship between organic matter and sediment content in different lakes", "how do you compare sediment depth and organic matter", "what is the relationship between percent organic matter and sediment depth?", "how to find the relationship between the percentage of organic matter in sediment and the depth?", "can organic matter in sediment be linear?", "why is the ratio of organic matter in lake sediments linear?", "how to compare organic matter to sediment", "what is an example of a linear relationship between organic matter and sediment depth?", "which of the following is an example of the relationship between organic matter and sediment depth?", "how to illustrate the relationship between organic matter and the depth of the sediment", "how does the relationship between organic matter in sediment and sediment depth differ between lakes", "how to compare non linear relationships", "which term describes the relationship between percent organic matter and sediment depth?", "how to compare organic matter levels in lakes", "how to illustrate and compare nonlinear relationships", "what is the relationship between organic matter and sediment depth", "how to compare nonlinear relationships", "can organic matter be used to compare sediment depth and percent organic matter" ]

[ "what is the difference between spatial kriging and spatial autoregression?", "what is the difference between kriging and spatial autoregression", "what is the difference between universal kriging and spatial autoregression?", "what is the difference between statistical autocorrelation and spatial autoregression?", "spatial autocorrelation is used for which type of model", "what is kriging spatial autocorrelation", "what is the spatial difference between kriging and autoregression model?", "what is the difference between spatial autoregression and kriging", "is kriging spatial autocorrelation?", "what is the difference between kriging and spatial autoregression", "what is the difference between universal kriging and spatial autoregression", "spatial autocorrelation definition math", "difference between kriging and spatial autoregression", "what's the difference between spatial kriging and spatial autoregression", "what's the difference between kriging and spatial autoregressive", "what is the difference between spatial kriging and spatial autoregression?", "what is the difference between spatial autocorrelation and universal kriging?", "what is universal kriging", "which is the difference between kriging and spatial autoregression?", "what is the difference between kriging and spatial autoregression?" ]

[ "how to find the log likelihood of each fold", "how is log likelihood calculated in matlab", "ll in leo cross validation", "how can i compute log likelihood per fold in matlab", "how to get log likelihood per fold in matlab", "how to calculate log likelihood of model hmm matlab", "calculate loglikelihood per fold matlab", "how do i calculate log likelihood per fold in matlab?", "how to get log likelihood per fold in matlab", "how do i calculate log likelihood per fold", "how to get log-likelihood per fold", "how to calculate log likelihood per fold matlab", "what is the log likelihood per fold", "how to find the log likelihood of a model on matlab", "what is the log likelihood of each fold", "how to get loglikelihood a fold matlab", "how to get the log likelihood for a cross validation", "calculate log likelihood per fold matlab", "how do i compute log likelihoods hmm", "calculate log-likelihood per fold matlab" ]

[ "what is the probability of squared loss", "the _________ is the error term that captures unmodeled effects and random noise?", "what is the purpose of squared loss function?", "which statement is the correct one when the squared loss function is included in the x-y", "which of these statements is true about a squared loss function?", "why use squared loss function", "what is the target function of squared loss risk", "what is the function of squared loss?", "which of the following is the probability that the error term of an equation can be used to justify the squared loss of the function?", "squared loss function", "if there is an error term that captures unmodeled effects and random noise, then the function of the squared loss function is $e(i), x, and theta.", "function of squared loss", "what is the function used to justify squared loss", "what does squared loss mean", "what is the error term for squared loss", "squared loss definition", "how to write squared loss function", "function squared in regression", "how to write error term squared", "how to justify squared loss function" ]

[ "what is dummy variable for house price", "are ny and boston linearly related", "how can you estimate property cost in a dummy model", "can i calculate average house price in boston", "what is the dummy variable for the new york vs boston housing market", "what is the linear model for housing", "how do you find the dummy variable in a linear model?", "how to include a variable in a linear model", "what model includes house prices", "what variables should be included to estimate house prices", "is new york the same as boston?", "is the dummy variable a dummy variable in continuous model", "how to include a variable in a continuous linear model", "how to include variable spanning from 0 to 1 in a continuous linear model", "can you include an variable in a linear model", "what is the dummy variable for ny house price", "which predictor would be dummy", "what variable does boston include", "how to include variables in a continuous model", "is new york a dummy variable in a linear model" ]

[ "can a parametric model contain an independent variable and a term", "what is the category of a linear model called?", "which regressor is independent and/or ar", "what are the independent or statistical variables in the arima model?", "is the arc term a regressor?", "is the term ar and independent variable regressors?", "how to find the significance of the AR model", "is ac term and independent variable regress", "what is the category of a linear model?", "what is the independent variable of model", "what is the category of a linear model called?", "is an ar term significant", "what is the category of a linear model called?", "what is the independent variable in an ar model called", "what type of variable in a regression model uses an independent variable?", "how to regress from a linear model", "what is the category of this linear model called?", "why is the r term significant in linear model", "which term is significant in an ac model?", "what is the category of this statistically significant linear model called" ]

[ "why is it important to omit a variable in a regression test?", "what is the difference between a dummy variable and an omitted variable?", "how to work out the coefficients of 4 dummy variables in regression", "which of the following are different dummy variables in a table?", "how do you change a variable if you omit it", "why does a table have dummy variables", "why does it make a change in dummy variable", "how to find what is dummy variable trap?", "why do i use dummy variable trap in regression", "which variable is omitted when working out the normal error of a regression?", "does the dummy variable trap change coefficients", "is this a dummy variable", "what is a dummy variable and how can i work it out", "dummy trap definition", "which variable is omitted when using dummy variable for regression", "which variable is omitted in a regression table because it is a dummy variable?", "why do you omit the first column of regression", "what is an example of changing a variable due to a dummy", "what is the dummy variable trap in a regression", "can you work out standard errors based on dummy variable trap" ]

[ "which classifier is better for a given dataset", "which classifier generalizes better than another", "can we reasonably safely conclude that", "how can you choose which classifier generalizes better", "how can we choose which classifier generalizes better", "which classifier is better", "which model of a classifier is generalized better?", "_________ generalizes better than another classification.", "which classifier is better", "what classifier is used in the classroom", "which is generally best classifier", "which classification is better generalized or not", "which classifier is more generalized?", "which model is better generalized or a particular classifier", "can we choose which model generalizes better?", "which classifier is better?", "which classifier is better", "which classifier is better", "which classifier is better", "which classifier is better generalized" ]

[ "compute shanter entropy", "how to find shelby entropy in a matrix in sql", "how to compute shannon", "how to calculate shannon entropy", "how to calculate shannon entropy", "how is shannon entropy calculated", "how to determine Shannon entropy", "calculate shannon entropy", "how do i find shannon entropy on a sparse matrix", "how do i compute shannon entropy", "how to calculate shannon entropy in sparse matrix", "how to calculate shannon entropy", "how to calculate shannon entropy in sparse matrix", "how do i calculate shannon entropy", "how to calculate shannon entropy", "how do you compute shannon entropy between a row of a matrix?", "calculate shannon entropy", "can i compute shannon entropy between columns", "how to get shannon entropy", "calculate shannon entropy" ]

[ "how to find haplotypes", "how many generations of haplotypes", "which of the following measures can be used to compare haplotypes within a population?", "how is haplotype diversity calculated", "how to find the similarity between haplotypes", "how to determine if haplotypes are similar", "what is the measure of haplotype similarity", "how is haplotype variation related to the population", "how do we determine the haplotype diversity for each generation?", "what is the measure of haplotype similarity", "which measure is most likely to be higher than the average haplotype", "what is the measure of similarity", "what is the measure of a haplotype that we compute?", "why is it important to compare haplotypes across demes", "what is the measure of similarity in haplotypes", "what measures haplotype diversity", "what measures diversity", "how many generations in haplotype comparison", "which of the following measures is used to compare a population of haplotypes?", "what measure is used to determine the similarity of the haplotypes?" ]

[ "what is the difference between training and test data?", "difference between testing and decision tree", "difference between training and test data in decision tree", "what is test data and decision tree", "difference between test and decision tree", "what is the difference between test and test data", "what's the difference between a training and test data?", "what is testing and test data mean in decision tree", "what's the difference between test and test data?", "what is the difference between test and test data in decision tree", "what is the difference between test and test data", "difference between test & test data", "what is the difference between training data and decision trees", "what is the difference between training and test data in decision trees?", "difference between test and test data in decision tree modeling", "what is the difference between testing and decision tree", "what is the difference between testing and training data?", "the difference between training & test data", "what's the difference between training and data analysis?", "difference between test and test data?" ]

[ "is the wilk test insensitive on the tails?", "is shapiro wilk test insensitive on the tails of sample distribution?", "is a wilk test insensitive", "which type of test is insensitive to the tails of a sample distribution", "is wilk insensitive", "what tests insensitive to wilk", "what test is insensitive on the tails of a sample?", "is the wilk test insensitive to sampling", "is the shapiro wilk test insensitive", "is shapiro wilk test insensitive", "is shapiro wilk test insensitive on the tails of sample distribution", "why is shakero wilk test insensitive", "is shapiro wilk insensitive on the tails of sampling? quizlet", "is the shapiro wilk test insensitive to the tails", "what is the wilk test", "is the shapiro wilk test insensitive", "what test is insensitive in a sample distribution?", "is the wilk test insensitive", "is shakero wilk insensitive", "is a wilk test insensitive" ]

[ "how much of a chance do you get to win a coin flipping tournament", "if player won more than once, who would have equal chance to win", "when you compare tournament results to chance", "how to compare tournament results to chance in gaming", "how to compare randomness between players in a coin flipping game", "why do you compare the results of a coin flipping tournament to the chance of winning the same match at the start of the event?", "which is the best way to compare a random tournament", "which is true about the odds of winning a coin flipping tournament?", "how do you tell if a player has the chance to get a win in a coin flipping tournament", "how to compare the odds for a coin flipping tournament", "how to compare chances of winning a coin game to randomness", "what does the coin flipping tournament show about luck", "how to compare a coin flipping game results", "how can you compare tournament results to chance?", "what's the goal of coin flipping", "how to compare odds in a coin flipping game", "how do you compare a coin flipping tournament", "what would happen in coin flipping tournament", "how can you predict the outcome of a coin flipping tournament?", "how do you compare results of tournaments to chances" ]

[ "definition of holt-winders algorithm", "holt windows algorithm t", "what is holt winds algorithm in math", "holt windows algorithm", "holt winds definition", "define: holt winsters algorithm", "holt winters algorithm", "holt winds algorithm definition", "what is holt windsor definition algorithm", "what's the math formula for holt windsor?", "holt windsor algorithm definition", "define holt winsters algorithm", "what is holt windsors math definition", "definition of holt winds algorithm", "holt windser algorithm", "holt winsters algorithm definition", "holt winsters algorithm definition", "definition of holt winds algorithm", "holt winds algorithm definition", "what is holt winters algorithm" ]

[ "what is the units of the or for method 2", "how do you compare odds ratios", "what is the or for two methods of a multivariable", "how to compare two independent odds ratio methods", "which of the following methods will increase the odds ratio of method one", "how do you compare an or and an or", "which method of analysis shows the odds ratio", "what is the unit increase for method one of multivariable analysis", "comparing odds ratio", "why are odds ratios different?", "what measures the or of the two methods of univariable versus discrete data?", "how to compare a single method and a variable", "how to calculate odds ratio", "which method is better to compare the odds ratio of a continuous or discrete variable? how to do that?", "which method is the best for comparing the odds of a continuous variable", "what is the or scale for method 2", "how to compare the odds of a variable", "comparing the odds ratio of two variables", "what is the difference between method one and method a", "what is the odds ratio for methods one and two in an univariable analysis" ]

[ "why use regression model", "why use regression in regression", "why use regression in a regression model", "which regression model is best for testing a computer system efficiency", "why use regression in algebra", "why use regression", "why should i use regression", "why use regression model", "why should regression be used", "why do you use regression in a linear algebra problem", "why use regression analysis", "why use regression in regression analysis", "how can i model the performance of my computer", "why should I use regression for a linear algebra experiment", "why use regression in statistics", "why use regression for testing", "why do i use regression model for the benchmark", "can you use regression to model an experiment", "when to use regression in an experiment", "what is regression modeling" ]

[ "which method is the best to reduce response variables?", "which is best to reduce response variables in multiple regression", "why does pca reduce responses to variables", "which method is better to reduce response variables and conduct a multivariate multiple regression?", "what is multivariate regression or pca", "what is an pca test", "which type of regression would you conduct on multiple variables", "is pca a multivariate multiple regression", "which is better pca or multivariate multiple regression", "which is better pca multiple regression or univariate multiple regression", "does pca reduce multiple regression response variables", "which test is better to use a pca or a multiple regression", "what is multivariate pca used for", "what is pca in multivariate regression", "which of the following methods is better multivariate or multivariate", "what is multivariate regression or pca", "what is the method used to reduce the response variable?", "which is better multiple regression or multivariate", "what is multivariate multiple regression", "which is better multivariate multiple regression or univariate multiple regression" ]

[ "can you use dna as a glm", "what is the best way to use binomial glm", "how can you use glm for logistic regression", "why is it important to fit two independent variables into a binomial glm function?", "what's the difference between glm and logarithm", "when using glm what is the best fit of one independent variable", "what is the function for logarithmic interaction in glm?", "can i use binomial ggm function with binary regression", "does lm function use logarithms", "can you use a logarithm and a polynomial to create an glm?", "how to use a linear regression glm", "what type of functions do you use to interpret interactions in logarithms?", "how to do a binomial glm", "how to do a glm on a linear regression", "what is the glm in glm", "what is the function to fit binomial regression", "what is glm used for", "how to use binomial regression in binomial data", "how to use binomial correlation in linear regression", "what is the logarithmic logarithms in linear regression" ]

[ "how to infer from a known truth table", "how to estimate the number of unique people", "calculating unique individual numbers", "how to infer the number of unique logins from a known truth table", "how many unique logins can be estimated using calibrated truth table", "how to determine the unique individuals on a calibration table of truth", "how to figure the number of unique users", "what is the actual population of individuals", "how to find unique users", "how to determine number of unique visitors in a population", "how to calculate population of individuals using calibration table of truth", "how to infer the uniqueness of individuals", "how to estimate number of unique users", "estimated number of unique individuals by demographics", "why use calibration table of truth", "how to find unique logins using calibration", "how to find a unique number for someone in a data table", "how to estimate the uniqueness", "how to determine the number of unique individuals", "how to infer unique individuals from a known fact table?" ]

[ "what noise does a contingency table show", "which table has noise in it", "when is noise considered in clustering", "why do I use the noise for contingency table", "why use noise in a contingency table", "what is noise in contingency table?", "do i need to consider noise in a contingency table", "should noise be included in the contingency table", "what is noise", "should the noise be grouped together in the contingency table", "should noise in contingency table be included", "why do we use noise data as contingency table", "should noise be grouped as noise for clustering", "do you have a contingency table and noise?", "why do i need a noise in my contingency table", "can noise be used in a contingency table", "noise c contingency table", "why do i need a noise table", "how to cluster noise in contingency tables", "when to use noise in contingency table" ]

[ "percentile formula for daily percentile", "average hourly percentile", "how long are the percentiles", "how often do i get the percentile for average daily data", "calculate per centiles daily", "how to get daily percentiles", "how do you get a percentage of the day", "how to compute a percentile of a data stream daily", "how to find percentile for a data stream", "average percentile of daily percentages formula", "how to compute day's average percentile", "how to compute daily percentiles", "how to find daily percentiles", "can you use daily percentiles to find median and 95th", "how to find a daily percentile?", "how many percentiles does it take to compute daily averages", "how to compute daily percentiles", "how to get percentile for daily count", "how to find normal hourly percentiles", "can percentiles be calculated daily" ]

[ "when do you use ward clustering", "cluster analysis of multiple variables", "what does each cluster use", "ward cluster method", "how to create cluster in r", "can i do a cluster analysis on multiple variables", "how to apply cluster analysis", "what is ward hierarchical clustering", "clustering for multiple variables", "why use ward clustering", "when do you run cluster analysis", "cluster in windows", "who created cluster analyses", "how to create a cluster analysis for multiple variables and compare them", "what is the use of ward hierarchical clustering", "who creates cluster analysis", "how to create a cluster analysis in r", "which method can be used to create a cluster analysis", "ward hierarchical clustering", "clustering in r using variables" ]

[ "how to use inventory replenishment in r", "inventory replenishment in r model", "inventory model for r", "how many sold tickets r", "why r isn't replenishing", "if inventory doesn't replenish how many tickets", "can you model sales in r", "how to calculate if inventory is replenished", "r what does it mean when your inventory doesn't replenish", "what is non replenish inventory", "why model non replenish inventory", "how to forecast inventory for an event in r", "can microsoft account be used to predict the number of days of tickets available", "can inventory replenish in r", "do inventory replenish in r", "why does r model tickets with no replenishment", "how to model sales over time in r", "how can i model a sales event in r", "do you replenish inventory in sales", "how to model non replenish inventory on r" ]

[ "what is dummy coding for contrasts", "how to code a dichotomous variable", "contrast coding in regression", "how to code a dichotomous predictor", "what is the contrast used in regression analysis?", "what is the difference between contrasts dummy coded", "how to code contrasts", "how do you code contrasts in regression", "what contrast should one use?", "how to code a dichotomous variable", "dummy coding contrast", "contrast in dichotomous variable", "what is the contrast for dichotomous variables", "what contrasts are used for dichotomous variables", "why use contrast for dichotomous predictors", "what is the contrast for a dichotomous predictor?", "difference between contrast and contrasts in dichotomous variables", "what is a contrast", "what is the contrast for a dichotomous variable?", "what is dummy coding for contrast" ]

[ "how does delta coefficient differ across all years of a sample?", "does log mean married", "what is dummy variable", "how to interpret delta", "how do we interpret delta coefficient in the swap", "what is delta_ 1 of graph", "what is delta of a coefficient", "what year is the coefficient of regression delta", "what's the coefficient for divorce", "when is delta_1 used in regression", "what is delta_1", "what year was text recorded?", "which statement correctly interprets delta_2$?", "how do you interpreted a delta", "if a person is married and if not what is dummy variable", "dummy variable of delta_1", "what is a delta of 1$ in regression", "why should you use delta_1?", "what is delta_1", "how does delta_one measure" ]

[ "what is a dummy variable", "what is the dependent variable for a dependent variable", "what is sacu", "how do you interpret sacu", "what type of variable is saku", "what is sacu", "what is meant by a dummy variable", "what is sacu dummy variable", "what is the dummy dummy of a sacu", "how to interpret sacu in logarithm", "what is sacu", "what is SACU", "define sacu", "what is the dependent variable for openness in a fixed effects model?", "what is the saku", "what is the variable for sacu", "what is dummy variable", "what's the dummy variable of openness", "what does sacu mean in a variable?", "what is sacu mean in statistics" ]

[ "how do you determine how monotone is?", "what is monotone pattern", "what are the two methods used to determine monotonicity", "how is monotone statistically summed?", "how do you tell if monotone pattern is monotone", "how to find monotone pattern", "what is monotone pattern used for", "what is the meaning of monotonity in imputation", "how is monotone in statistics", "what is monotony of missing pattern", "how to find monotonity of missing data", "when is monotone monotonous", "how can you predict monotonicity of missing pattern in a linear model? why?", "how to determine monotone patterns", "monotony means", "how to figure the monotonic pattern", "how monotone is monotone", "what is monotonicity", "how monotone in math is", "which statement is useful in determining monotonicity of missing patterns" ]

[ "how to split dataset", "how to split a dataset to test", "how to split test set into training set in scikit", "how to split a training set in scikit", "how to split a dataset", "how to split a dataset from sklearn", "how to split a training set in scikit", "how to split a dataset for cross validation of test dataset", "how to split a dataset", "how to split the dataset", "how to split the dataset for cross validation", "what is the svc algorithm for testing", "how to split a dataset into training and test set from sklearn", "how to split dataset", "how to split datasets", "how to split a dataset in scikit", "how to split the test dataset", "if a dataset is split into training and test sets, the learning curve is ________.", "split dataset for cross validation", "how to split training data sets" ]

[ "which probability of choosing road is higher", "which road is the simultaneous probability of the driver choosing?", "which of these is more likely to be possible", "what does simultaneous probability mean", "what is the probability of all drivers choosing road y", "what is the probability for choosing a road simultaneously", "what is probability of choosing road y", "which of the following is the probability that all drivers choose road y?", "what is the probability of choosing road x?", "which probability is more likely to happen when all drivers choose road y than in the probability of choosing road x?", "how to use simultaneous probability", "what is the probability of selecting road x", "what is the probability that all drivers take a road", "how to calculate simultaneous probability", "how many road are there", "how to find a probability of choosing one road?", "how to calculate simultaneous probability for a driving test", "the probability of choosing road y is equal to", "what is the probability of driving a road simultaneous", "what is the probability of choice road x" ]

[ "which algorithms use ward clustering?", "which function best describes ward clustering algorithm", "does squaring of dissimilarities improve", "does ward clustering improve the algorithm", "why use squaring instead of clustering", "is squaring the dissimilarities better", "does wilson clustering work", "which algorithm is not implemented in ward clustering?", "what is the advantage to squaring dissimilarities?", "when clustering the dissimilarities in r is squaring", "is the ward algorithm better than the ward method", "why do we use clustering algorithm", "what is the advantage of squaring dissimilarities", "when does ward clustering use squaring", "what is ward clustering used for", "ward clustering is it better to squaring", "is there an advantage to squaring dissimilarities when using ward clustering?", "why use ward clustering instead of d2", "which algorithm implements ward clustering?", "r squaring dissimilarities" ]

[ "how many times is a spss aNOVA", "can you add bonferroni in spss", "why would you use the spss syntax in an aNOVA with bonferroni correction", "when do you run asana post hoc", "when you run an ova in spss what is the correct correction to add", "how to do the aNOVA of 3 times", "is it necessary for a post hoc assay in spss?", "why do you use the post hoc method for mixed design anasto", "how to run an avn in sss", "how to check for a difference between two groups of participants", "how to perform a post hoc aNOVA", "how many times does the mixed design anovus compare? why or why not?", "what is the definition of post hoc in an analya", "why would a post hoc analysis use bonferroni correction", "when can you run a posthoc aNOVA with Bonferroni", "why do we use Bonferroni correction during an aNOVA", "what is the difference between a post hoc aNOVA and an experiment aNOVA", "why is it important to do an ova for each group in spss", "how often do you run an aNOVA on a two-group basis", "how to check for differences in time between groups in an ANOVA" ]

[ "why should you compare time intervals for polls", "what is the uneven time intervals for poll data", "uneven time intervals", "uneven time intervals", "how far apart are polls in a time series", "what is a time series of uneven polls called", "how to convert uneven time intervals to time series", "how to compare uneven time intervals", "what is the uneven interval in the polls", "how to compare an uneven time period with a normal time span", "what is uneven time intervals in statistics", "how to convert uneven time intervals in data sets", "uneven time intervals", "how to convert uneven poll dates into time series", "how to use uneven time intervals", "how to reorder unevenly collected polls from one year ago", "which data is uneven in the polls", "how to convert uneven poll data", "how to analyze uneven data", "how to analyze uneven time intervals" ]

[ "which is a simpler way to calculate fraction of variance?", "what is the fraction of variance unexplained in linear and nonlinear regressions?", "what is the fraction of variance in a linear model", "how do i calculate fraction of variance unexplained", "how to find fraction of variance unexplained", "what is the fraction of variance unexplained", "what is fraction of variance unexplained", "how to do fraction of variance in regression", "which model is better fraction of variance unexplained or unexplained?", "how do you get the fraction of variance for an equation", "how to find fraction of variance unexplained", "how to calculate the fraction of variance in a linear regression", "how is fraction of variance unexplained calculated", "how do you find fraction of variance unexplained", "when can i use r squared in a nonlinear regression", "what is fraction of variance unexplained in logistic regression", "when to use fraction of variance unexplained", "how do you get fraction of variance", "how do I calculate fraction of variance in an equation", "how to calculate fraction of variance unexplained in regression" ]

[ "which condition is most likely to be associated with a treatment?", "comparing treatment means", "comparing treatment means", "difference between mean and treatment means", "what would the mean of a treatment variable mean", "how to tell the means on a continuous variable", "which variable is a measure of treatment in statistics?", "which is better comparing treatment means or zeros", "what is a treatment mean?", "what is the difference between comparing treatment means and treatment means?", "what is comparing treatment mean", "how to compare treatments", "what is the difference of treating treatments mean", "what does the transformation of log(n+1) mean", "when comparing treatment means on continuous variable", "which of the following is an example of a comparison of treatment means using lots of zeros?", "what's treatment mean", "how to compare mean treatment mean", "what is comparing treatment mean", "what does it mean comparing two treatments?" ]

[ "how to plot binomial proportions", "how do you plot binomial proportions in r", "how to plot binomial proportions with confidence intervals using r", "can r plot binomial proportions?", "how to plot binomial proportions", "can you plot binomial proportions in r", "what is the r environment for proportions", "how to plot in r using binomial proportions", "how to plot binomial proportions with confidence intervals in r", "how to use binomial proportions in r", "r to plot binomial proportions", "how to plot a whiskers plot", "how to plot proportions in box and whiskers plot", "r plotting binomial proportions", "what type of proportions are binomial proportions", "how to plot proportions on a box and whiskers plot", "can you plot proportions in r", "how to plot proportions with confidence intervals", "plot binomial proportions", "what plot do you use to find proportions" ]

[ "what is the probability of expected maximization in em?", "how to use expectation maximization in r", "what is expectation maximization", "which step does expectation maximization occur in an equation?", "r is expectation maximization", "what to use for expectation maximization", "how to find out the variance of two mixtures", "what is the first step of expectation maximization?", "what is expectation maximization", "expectation maximization equation", "can i use expectation maximization to find the variance of two linear mixtures?", "what is expectation maximization?", "what is expectation maximization", "which condition is a first step of expectation maximization?", "how to calculate expectation maximization from linear mixtures", "when do i back out the betas of the equations in expectation maximization", "expectation maximization equation r", "expectation maximization definition r", "expectation maximization for linear mixtures", "can an expectation maximization equation be used in em?" ]

[ "how to deal with time in a bayesian database", "how can a bayesian network be classified as time", "what is the time associated with bayesian network", "why is bayesian network based on time", "can you use time and time in the same network", "how to deal with time related features in bayesian network", "how is time a defining feature", "what is the time relation of bayesian", "how to use bayes network", "how is time related in a bayesian network", "how to get value from time related data in bayesian", "how to deal with features in bayesian network", "how to handle time related data", "bayesian network time related variables examples", "is the time associated with a bayesian feature?", "how to use bayesian network model", "how to handle time related graphs with data", "how does bayesian network work", "how to use bayesian features in my network", "how to deal with features of a bayesian network" ]

[ "what's the expected number of runs of length", "how do you calculate expected number of runs in coin toss", "what is the expected number of runs length", "simulated number of runs of length", "what is the expected number of runs of length for a coin toss", "what is expected number of runs of length in coin toss", "what is the expected number of runs of length in a coin toss", "how to find numbers in a coin toss", "coin toss expected number of runs", "how many ran of length in coin toss", "what is the expected number of runs for a coin toss", "what is expected number of runs of length in coin toss?", "coin toss average expected ran length", "how to calculate expected number of runs", "how long is an expected number of runs", "what is the expected number of runs in a coin toss?", "what is the expectant number of runs in coin toss", "expected number of runs in coin toss", "how to find expected number of run in coin toss", "how do you find the expected number of runs in coin toss?" ]

[ "how to calculate confidence interval", "how is the interval calculated when a binomial proportion increases", "how to find confidence intervals in fieller's formula", "how to determine confidence interval", "how to find confidence intervals in binomial proportions", "irrational fieller's theorem of confidence intervals", "if the binomial proportion is 5% then the confidence interval would be", "how to calculate confidence intervals in fieller", "how to calculate confidence interval", "how to find confidence interval", "confidence interval in binomial proportions calculation", "what is the confidence interval for binomial proportions", "how do you calculate confidence interval", "what percentage to increase confidence interval?", "how to calculate confidence intervals", "how to figure confidence interval", "when a binomial proportion is 50% higher than a proportion, the confidence interval is the same", "what is fieller's confidence interval", "how to calculate confidence interval", "can fieller's theorem be used for confidence intervals" ]

[ "spatial exp in winbugs", "can you find lower and upper bounds of phi for spatial.exp in winbugs", "how do you calculate phi using spatial.exp", "how to determine the upper bound for spatial.exp in geobugs", "what kind of analysis do i need for spatial.exp", "which logistic regression model uses spatial.exp", "how to use spatial exp in logit", "when to use spatial.exp in geobugs", "what is spatial.exp mean in geobugs", "spatial exp in geobugs", "spatial.exp definition in geobugs dummies", "spatial.exp in geobugs how to use phi", "how to find the upper and lower bounds of phi in a geobag", "spatial.exp definition geometry", "how to find the bounds of the spatial.exp in geobugs dbin", "how do you select the bounds of ph based on spatial exp", "what is spatial exp in geobugs", "what is spatial exp in geobugs", "can you specify the bounds of the distribution for spatial exp in geobugs", "spatial.exp is used in geobugs to" ]

[ "what is the following equal to a value of money", "how to find number of free parameters", "what is the following equal to for a set of three variables", "what is the following equal to", "what is the following value equal to", "what is the following equal to", "what is the following equal to?", "which statement represents the sum of the following values", "what is $p(x_1] =", "what is the following equal to?", "what is the following equal to", "what is the following equal to", "if one of the following is equal to $3, how much does that mean", "what is the following equal to", "what does $p(x_1|x_2|x_3p(x_1)] mean", "what is the following math equation", "what is the following equal to", "what is the following the value of?", "what is the following equal to in math", "what is $p(x_2] equal to?" ]

[ "which svm decision boundary would i be able to hit", "what is the svm decision boundary", "when is a support vector hit", "what is the svm decision boundary condition", "distance from decision boundary in svm", "svm decision boundary conditions", "which is the decision boundary for svm?", "what is the distance for svm decision boundary", "how do we figure a support vector from a decision boundary", "decision boundary derivation", "svm decision boundary condition", "how to find the svm decision boundary", "which svm decision has the lowest probability of hitting a vector at the optimum distance", "how to find the decision boundary of a svm", "how do we find svm decision boundary", "svm decision boundary", "why is the equation of maximum margins a decision boundary", "what is a decision boundary", "what is the decision boundary for svm?", "what is a decision boundary condition" ]

[ "can a narrow confidence interval inference be used to support a null hypothesis", "when a confidence interval is narrow is it true", "why is the confidence interval of a null null", "which condition would provide evidence against a null hypothesis?", "do narrow confidence intervals mean null?", "which confidence interval is used in an inference test to reject a null hypothesis", "why would you expect a narrow confidence interval for a null hypothesis in a case where a null is not rejected?", "is a narrow confidence interval evidence for the null", "is the confidence interval a null or an asterisk", "which confidence interval for positive nulls is centered around 0", "what is the null in a CI?", "does narrow a confidence interval in a null hypothesis provide evidence for a null hypothesis", "if a ci is narrow is this evidence", "what is the meaning of the confidence interval for a hypothesis when its point is a null?", "how is a confidence interval measured", "why is confidence for null", "is a narrow confidence interval a positive or negative", "if the confidence interval is narrow is it true that the null is true?", "is the null effect unusable to be rejected", "why does the confidence interval around the null null mean this" ]

[ "what's the mean of a random number generator?", "how do you generate random data", "how to generate random numbers", "why can't you generate a random number", "how do you generate random data", "what is the range of the given random number", "generate data with endpoints and a given mode", "how to generate random number with no endpoints", "how to generate random data", "how to generate a random range for a data set", "how random data generate", "how to generate data in mintab", "which data generates random data with no endpoints?", "how to generate data in minitab?", "how to generate random data", "can you generate a random mean using a data set", "how to generate random data with upper / lower endpoints", "when is a random data set generated", "how do i generate random data with a given average and endpoints?", "generate random number with a mean" ]

[ "how to interpret the lmer output", "how to interpret lmer model", "what is the baseline for a lmer model", "how to interpret two way interaction", "how to interpret three way interaction in lmer", "what is an example of three-way interaction", "what is the difference between a lmer and a rat", "which variables in the three way interaction model are rat?", "how to interpret sex of lion vs rat", "how to interpret a 3 way interaction", "how to interpret rat and lion interactions in lmer", "what color is a lion", "how lmer interprets interaction", "what is the difference between rats and lions", "what is the baseline lmer", "how to interpret a three way interaction model", "how to interpret two-way interaction model using lme", "how to interpret three way interaction lmer", "how to interpret two-way interaction in lmer", "how do you interpret a 3 way interaction in lmer" ]

[ "what is feature selection rbm used for", "what is rbm in r", "can RBMs be used for feature selection", "what is rbm in classification", "rbm used for classification", "which feature is selected using a rbm?", "can rbms be used for feature selection", "can an RBM be used for feature selection?", "what is rbm?", "what does rbm do", "where can an RBM be used", "what rbms are used for?", "what is RBM used for", "what is rbm used for", "when should an rbm be used", "what is rbm used for", "what feature can a rbm be used for", "what is an rbm used for", "what is rbm used for", "what can rbms be used for" ]

[ "gaussian r average range", "what is r gaussian fit", "gaussian fit data set", "what is the gaussian fit in r", "how do multipeak fit", "gaussian fit in r", "what is gaussian fit in r", "gaussian multi peak fit", "what is sp 0", "what is peak fit", "what is the range for gaussian fit", "gaussian fit r", "gaussian fit definition in r", "which data frame has the longest gaussian fit?", "gaussian data set", "what is the multipeak gaussian fit in r?", "what is gaussian fit for p in r", "where is r fit in gaussian", "what is the data set called in r", "how many data frames are there in r" ]

[ "how do you define average partial effect", "what apes mean", "what is the average partial effect", "what's the average partial effect", "what is apes", "average partial effects definition", "average partial effects definition for kids", "what is typical partial effect", "what is the average partial effect", "what does average partial effect mean", "what is an average partial effect", "which is an ape?", "what is partial ape", "what is an average partial effect on a test", "what is ace", "what is the difference between average partial effects (APEs) and average total effects (apes) in a probit model", "average partial effects", "what is the apes in statistics", "average partial effects definition", "average partial results" ]

[ "how to compute non nested model", "are the level 1 nested within level 2", "does level 2 estimate non nested level", "is level one nested in r", "what level is school within level 3?", "does r estimate non-nested level", "what is non nested level in multilevel model r", "how to estimate non-nested level model r", "is it possible to estimate a non-nested level in r?", "can non nested levels be estimated in r?", "how to estimate non nested levels", "are levels nested in r", "how to find non nested levels in r", "can level 1 be estimate non-nested", "is a nested r model used", "how do you find non-nested levels in r", "what is level one in r", "if level1 is nested in a multilevel model, would it have nested levels?", "what is the difference between a nested model of agregation and hlm regression", "r nested level estimator" ]

[ "average survival time for a regional anesthesia procedure", "what is the median survival time of a cox-regression model", "how to measure survival time of a patient", "what kind of anesthesia does a cox model use", "how do you calculate survival time for a patient with no anesthesia", "average survival time of anesthesia", "what is the survival of a regional anesthetic patient in a cox model", "how are the dummy variables used in a cox model", "what is the average survival time of a patient in a cox model", "cox models of survival", "how to find survival time for a group with regional anesthesia", "which variable is dummy in cox model", "cox survival time", "how to calculate median survival", "how do i determine survival of patients in a cox model", "how to measure survival time", "how to find average survival time", "how many variables are in a cox regression model", "how to calculate survival of patients stratified on a cox model", "which of the following variable is a main exposure of interest in a Cox model?" ]

[ "transform latitude", "can you change latitudes in a linear model", "how is latitude formatted in math", "what is the latitude used in the linear model for international", "how is latitude and n measured", "transform latitude", "how to transform latitudes", "how is latitude measured", "which of the following latitudes is measured", "what is the latitude of a global region", "what data is needed to transform latitude", "transform latitude value", "how to convert latitude to latitude for linear model", "how to transform latitudes", "is latitude a logical variable", "how to transform latitudes", "transform latitude and longitude", "what is latitude", "how to transform latitudes", "convert latitude to linear model" ]

[ "explain how to model binomial distributions", "binomial distribution examples", "how to model binomial distribution", "how to model an example of a binomial distribution", "binomial distribution of probability of success", "what is the relationship between binomial probability of success, probability of success, and the probability of success?", "why is probability of success depend on another binomial distribution?", "how to model a binomial distribution", "why is probability of success dependent on binomial distributions?", "binomial probability of success", "what type of distribution requires binomial distribution", "what is binomial distribution", "how does one model a binomial distribution", "why is probability of success a binomial distribution", "which model of probability of success is the result of another binomial", "which of the following is an example of a binomial distribution in which probability of success is dependent on another binomial distribution?", "how to model binomial distributions", "how to model binomial distribution", "which binomial distribution can be used to explain probability of success?", "how to model binomial distributions" ]

[ "what is the distribution of the correlation coefficient", "what is the correlation coefficient for each r window of windows", "how do i find a distribution of the correlation coefficient? if no, then what is the r function?", "what is the distribution of the correlation coefficients", "how to find a distribution of correlation coefficient for a random variable in r", "why is r distribution of coefficients nonnormal", "what is the distribution of the correlation coefficient", "where is the correlation coefficient in r", "what is distribution of correlation coefficients", "what is meant by distribution of random variables", "which measure of the correlation coefficient is most normally distributed in r?", "how to tell distribution of coefficients r", "what is the distributed distribution of correlation coefficients in r", "what is r's correlation coefficient", "what is the distribution of the correlation coefficient", "what is r cor distribution", "what is r's distribution", "what is the correlation coefficient in r", "what is the distribution of the correlation coefficient in r?", "which method is usually discrete" ]

[ "what is sufficient statistics", "how does sufficient statistics function", "how are sufficient statistics necessary", "sufficient statistics definition", "what is sufficient statistics", "what is sufficient statistic", "why is sufficient statistics used in factorization theorem", "how to determine how much sufficient statistic", "is sufficient statistics an example", "sufficient statistic mle", "how is sufficient statistic calculated", "does sufficient statistic depend on the data?", "how can we determine whether a distribution has sufficient statistics", "what does sufficient statistics do", "how do one determine whether a sample has sufficient statistics", "what is sufficient statistic", "what is the function of sufficient statistics in a distribution", "what is sufficient statistic", "how does sufficient statistic work?", "does a distribution have sufficient stats" ]

[ "what is the joint distribution for $y$ in arithmetic", "are the variables x y y independent", "what type of variables are independent", "is the joint distribution independent", "if a variable is independent how to determine", "how to determine whether a random variable is independent", "are the random variables independent", "if a random variable is independent, which statistic is used?", "how to find if the chi is independent of the random variable", "how to determine if variable is independent", "how to check if a variable is independent", "if all the variables are independent how to figure out the relationship", "is $x/y a function of a chi", "how do you tell if a random variable is independent", "which of these is independent", "what's the joint distribution of sqrt", "is $X independent", "which of the following is independent", "what is the function of $x$", "how to find out whether a variable is independent" ]

[ "is Gaussian estimator valid", "can conditional gaussian be solve as a linear or multivariate", "can conditional gaussian estimation be solved", "can conditional gaussian estimation be solved as a linear regression", "how can you solve a conditional gaussian estimation", "how to solve conditional gaussian estimator", "can conditional gaussian estimation be solve as a linear regression", "can a linear regression be used to solve a conditional geussian estimation problem?", "can conditional gaussian be solved as a linear regression", "can conditional gaussian estimation be solve by linear regression?", "what's the best way to solve a gaussian problem", "can conditional gaussian estimation be used as a symetric regression?", "can a gaussian regression be used as a linear regression", "can conditional gaussian estimation be used for a spherical regression", "can conditional gaussian estimator be solved by linear regression", "can conditional gaussian estimation be solved in linear regression", "when to use conditional linear regression", "can we solve the conditional gaussian problem as a linear regression?", "can conditional gaussian estimation be solved", "can you solve the conditional gaussian estimation problem" ]

[ "how to measure spam score", "what is the spam score for a survey", "what is the rate of spam", "what is a spam ratio", "how to measure spam score in statistics", "how to measure spam score", "why is it important to find the ratio for spam", "which is a higher spam score?", "what is the spam score", "what is the spam score?", "what is the spam score in spam", "what is spam score a measure of", "what is the ratio for spam score", "how to measure spam", "what is the spam score", "what is the spam score", "how do you know if someone is spammer", "how to measure spam score", "how to find the spam score", "why do people make higher spam scores" ]

[ "what is the relationship between the power law and gamma distribution", "is there a negative binomial distribution in human populations?", "can the power law be compared with the power law of distribution", "does gamma distribution follow power law distribution quizlet", "what is the relationship between power law and negative binomial distribution", "why is gamma distribution negative", "what is the relation between gamma distribution and power law distribution", "which condition describes an abnormality in normal distributions and which describes a positive binomial distribution?", "is there a relationship between a power law distribution and a gamma distribution?", "what is the relationship between a power law distribution and a power theory distribution", "is there any connection between a power law distribution and a gamma distribution", "which distribution is analogue of a normal distribution?", "is there a relationship between a power law distribution and a gamma distribution?", "what is the relationship between a power-law distribution and a gamma-bound distribution", "how does the power law affect the distribution", "what is the relationship between a negative binomial distribution and a power law distribution", "which distribution is the gamma distribution?", "what is gamma distribution", "why do we say power law distribution is negative", "what is the relationship between binomial distribution and power law distribution" ]

[ "is there a mathematical model that distinguishes between volatility and trending?", "what is the mathematical model for predicting the trend of hashtags", "what is the mathematical formula that distinguishes between volatility and trend.", "what is the difference between a trend and volatility", "what is the difference between trending and trending?", "what is meant by a trending hashtag?", "what is the correlation between trend and volatility of a hashtag", "which of the following are tweeters popular hashtags", "which social media hashtags are volatile", "what is hashtag trend", "is there a mathematical model that distinguishes between volatility and trend?", "is there a mathematical model that distinguishes between volatility and trend?", "what's the mathematical model to show if a hashtag is volatile", "what is the mathematical model of hashtags", "what makes hashtag popular", "is there a mathematical model that distinguishes between volatility and trend", "which hashtags are volatile", "what is the mathematical model for the trend?", "what kind of a mathematical model distinguishes between volatility and trend?", "what is the difference between trending and volatility" ]

[ "how do you compute the decision boundary", "how can i compute an equation for linear svm", "what is the decision boundary", "what is the decision boundary in a linear svm model", "what is the decision boundary in linear svm", "how to compute decision boundary of linear model", "when determining the decision boundary of a linear svm, who must first decide on this", "definition of decision boundary in svm", "decision boundary of svm", "what is a decision boundary", "what is the decision boundary of linear svm", "what is decision boundary of linear svm model", "decision boundary of linear svm model", "decision boundary svm", "what is decision boundary in a svm model", "what is meant by decision boundaries of a linear svm model?", "determining the boundary of a linear model", "calculating a decision boundary of a linear svm model", "what are the decision boundaries of a linear svm", "which equation describes the decision boundary for a linear svm model?" ]

[ "why do standards of error differ", "what are newey west standard errors", "what type of error is a newey west standard error in a time series model", "which standard error gives significant evidence of autocorrelation?", "how many variables are high significant", "which statement indicates a standard error or nonstandard error in newey west analysis?", "do standard error matrix in a time series model contain autocorrelation", "what is the standard error in newey west", "does newey error give the most significance", "what is varcovar", "which standard error is higher than a var covar", "does newey error matrix have autocorrelation problem", "which method gives the most significance?", "does newey error give more significance model", "when using standard error matrix does it give me significance", "how do newey standard errors work", "how many variables are significant when using newey west var-covar", "which model has the most autocorrelation", "what is the difference between a standard error and a var-covar matrix in a time series model", "which ols model has the highest standard error and which standard error is the least significant?" ]

[ "when using a qar variable", "which variable is used for qar in quantile regression", "can you use an AR variable to predict an rhs", "what is the name of the dependent variable in quantile regression?", "what is qar and ar(1)", "what is the dependent variable for qar", "what is the qar variable", "which variable is lagged in qar?", "what is qar variable", "what type of variable is ar(1)", "is qar used as a regressor?", "can i use an ar(1) variable in qar", "what is ar(1)", "what is aqr in quantile auto regression", "does quantreg include an ar variable in the design matrix", "what kind of variable is qar", "what is the qar variable", "what is the qar variable", "how to use qar variable", "when qar is lagged, what variable is used" ]

[ "what's a conditional distribution variable?", "how is conditional distribution of variable $x", "conditional distribution of random variables", "what is the conditional distribution for x", "which variable if the variable has a symmetric distribution", "what is the conditional distribution of $x", "which conditional distribution of the given variable is the most likely", "what is the conditional distribution of x$ given $/x", "what is conditional distribution", "what is the conditional distribution of $x$ given $|x|$", "conditional distribution of random variable $x$", "what is the conditional distribution of $x$", "conditional distributions of variables", "which conditional distribution is used to find the distribution of one variable", "conditional distribution of x", "what is conditional distribution", "what is the conditional distribution of x$", "conditional distribution of random variable", "which statement describes the conditional distribution of $x$?", "is $x$ symmetric" ]

[ "why are bayesian methods considered particularly convenient", "why is bayesian method so convenient", "what is the benefit of using a Bayesian method?", "why are bayesian methods widely used?", "why is bayesian method called particularly convenient", "why are bayesian methods so convenient", "why are bayesian methods widely used", "why are bayesian methods used?", "why is it regarded as especially convenient in a math perspective", "why is bayesian method so convenient", "why is bayesian data so convenient", "why is bayesian methods so useful", "what is the main reason why we use bayesian methods?", "why are bayesian methods so convenient", "why is bayesian method convenient", "why are bayesian methods so convenient", "why is bayesian statistical approach so convenient?", "why is bayes method convenient", "why is bayesian method considered convenient", "why are bayesian methods so convenient" ]

[ "gamma and gaussian distributions in a mathematical equation?", "how to write glm in r", "how to write equations in r", "how to write glm equation", "glm gamma definition", "how to write a glm equation", "how to use r and write a gamma equation?", "what type of variable is the gamma gaussian distribution", "how to write a glm equation", "which model has least mae", "glm equation in math", "how to write model in r", "why do you need variable in r?", "what kind of math equation should you use in a glm model", "glm definition math", "how to write an equation in glm", "how to write a model equation", "how to write an equation for math with gamma in r example", "how to write math equation for lgm", "what is gamma distribution" ]

[ "weighted weighting algorithms", "weights knn in the dataset", "why do we use the weight of feature 1 in k nn", "weight algorithm for k-nearest neighbour", "weighted algorithm k closest neighbour", "what is the weight for knn", "what is weighted k nearest neighbour", "weight k nearest neighbors for variance", "weighted weights algorithm k-nearest neighbours", "what does weighted pca mean in k-northers", "what weight to use for k nn algorithm", "what is the weight of a feature in k-nearest neighbors", "weighted k nearest neighbours", "weighted algorithm knn", "weighted k nearest neighbour algorithm", "what is the weighting for a feature weight in the k-nearest neighbor algorithm", "weight pca algorithm", "weighted weighted weight algorithm", "weight of feature", "weighted knn" ]

[ "age comparison between population", "how to compare population", "why is census data important", "age of population of a city", "how to compare age range of population", "age range to compare population", "how to compare population by age range", "how are population statistics compared", "what is the best way to compare population", "what is the best way to compare the population of different populations?", "what is the best way to compare population of children across various regions?", "average age of census population per year", "age of children in nyc", "census data comparison of children", "how do you compare population by age", "what is the best way to compare population of children across various regions? head counts", "what is the best way to compare the population of children across different regions?", "census population comparisons", "what's the best way to compare a population", "what is the best way to compare population of a child (head counts) across all regions?" ]

[ "which r model uses the 95% confidence ellipse", "what is the confidence ellipse of pca", "what is confidence ellipse in r", "what is the confidence ellipse for pca", "how to estimate ellipse r", "what is the confidence ellipse range in r", "how to estimate 95% confidence ellipse", "what is the confidence ellipse range in r", "what is the confidence ellipse of the first two pcs in r", "what is confidence in r area", "how to find area of confidence in r", "what is confidence interval in r", "what is the area of the confidence ellipse in pca", "what is the confidence ellipse in r", "what is the confidence ellipse area", "a.what is the confidence ellipse in r", "what is confidence interval", "what is the confidence ellipse in r", "what is the confidence ellipse in r", "how to estimate area of confidence ellipse in r" ]

[ "is the statistic f statistic missing in stata", "what is the f test in stata", "regression number of obs", "how many variables does an f test use", "what is the chi2 standard error for logistic regression", "what is the coefficient of confidence in the chi2 regression?", "what is the r standard error for the regression output?", "what statistic is lacking in the regression", "what is the f test used for in regression", "what is the formula for an f test with categorical variables", "when using stata how to do a linear regression", "when removing the categorical variables from the statistic, the dummy variable will show up as an f", "what is the chi2 standard error for fickle regression in stata", "what is the statistic for a finite error in a linear regression", "f statistic and categorical variables", "what is the value for a f test", "what is the chi2 model for linear regression", "what is the f in a regression", "what is the formula for robust standard error", "which of the following can be considered a dependent variable" ]

[ "what is bagging,boosting, stacking", "what is bagging, boost, stack", "what is boost stack", "what's the difference between stacking and bagging", "what's the similarities between the methods in machine learning", "what is the difference between bagging,boosting, stacking and stacking in machine learning", "what are the advantages and disadvantages of bagging, boosting and stacking?", "which is the best method for bagging,boosting and stacking?", "what is the difference between bagging and stacking", "what's the similarities and differences between bagging, boosting and stacking in machine learning", "what is the difference between boosting and bagging machine learning", "what is bagging boost stacking", "what is bagging,boosting & stacking in machine learning?", "what is bagging boosting stacking in machine learning", "what's the difference between bagging, boosting and stacking machine learning", "different methods of bagging", "what is bagging? boosting? stacking?", "what is bagging and boosting", "what is the difference between boosting and bagging in machine learning", "what is the difference between bagging,boosting and stacking in machine learning?" ]

[ "why manova is necessary for a series of analysis of data? why is it important", "what is MANOVA analysis vs ananov", "what is the purpose of a manovo", "how to use aNOVA test for multiple dv", "can an analytist do maova", "how to perform a NOVA in a patient", "why would you do a MANOVA for multiple dvs", "what is the purpose of a manova in the testing of a single predictor?", "why do maNOVAs in clinical studies", "how to test a MANOVA of multiple data sets", "how to do a manovo", "what is the purpose of a manova", "NOVA for single predictor in clinical trials", "when to do a multivariate analysis of the data", "why do they conduct an analysis of performance measures in patients", "why do we do manovas", "why is manovova necessary with a single predictor", "which of the following measures is used in a maova?", "how is manovo used for a patient", "what is a manova analysis of a single predictor?" ]

[ "spss table of association", "what is the difference between the lbp and the independent variables?", "what is the difference between cross tab lbp and independent variable spss", "what table to use for a crosstab", "what is the error message when using spss crosstab", "cross tabulation errors", "cross tabulation symptoms and test results", "why is there no association between lbp and adl in crosstab", "if a variable is a constant which of the measures is computed?", "what is the purpose of cross tabulation table in spss", "can you check if lbp is an independent variable", "what are the variables used in crosstab", "what is the name of the variable in the spss table that is associated with the success or failure of the crosstab?", "which variable in each table can be a dependent variable?", "does a dv affect an adl", "when cross tabulation is used how many variables are there", "which statement should be used when running the crosstab table of spss", "cross tabulation spss error", "can a contingency table test lbp", "spox table no association" ]

[ "what is the difference between experimental and explanatory", "difference between explanatory and predictive", "what is predictive modeling", "what's the difference between predict and explanatory", "what's the difference between explanatory and predictive modeling", "what is the difference between explanatory and predictive model", "which term is used in predictive models", "define explanatory", "what is explanatory vs prediction", "define explanatory", "when is a predictive model used", "define predictive modeling", "what is predictive modeling?", "difference between explanatory and predictive", "which is predictive vs explanatory?", "what is the difference between explanatory and explanatory", "what is predictive vs explanatory", "what is the difference between explanatory and predictive", "what is the difference between explanatory and predictive", "who is the author of predictive vs. explanatory models?" ]

[ "what is the difference between aic and bic", "difference between aic and bic", "what's the difference between aic and bic?", "what is the difference between predicting and explaining", "what is the underlying difference between aic and bic", "what is the difference between aic and bic", "difference between aic and bic", "what is the difference between aic and bic", "difference between aic and bic", "how is the aic compared to the bic", "why is explanation better than prediction", "what is the difference between aic and bic", "difference between explanation and prediction", "what is the difference between prediction and explanation in the study of statistics?", "what is the difference between aic and bic", "difference between prediction and explanation", "what is the difference between aic and bic", "what is the difference between predicting and explaining", "difference between predicting and explaining in statistics", "difference between aic and bic in statistical terms" ]

[ "missing daily data one month", "why is daily data missing", "what is missing data for a month", "how to remove missing data from daily reports", "why is a date missing", "what is missing data on a day", "how to fix daily data when it is not recorded", "what is the difference between daily data and weekly data", "missing data in a month", "what makes a daily data report misshapen", "how to check missing daily data", "how to report missing data", "when is a monthly data missing?", "why is a month missing on my pc", "why do you keep missing daily data", "when you have not included daily data", "which data item can be missed", "why is a month missing", "why do we get monthly data that is missing", "why is my data missing for one day" ]

[ "how do i combine n gram?", "how do we combine n-grams in text mining", "how to combine gram numbers in text", "calculating gram count", "how to combine ngrams from ngrams", "is it ok to combine ngrams in text mining?", "how to combine ngrams in text mining", "how do you combine ngrams in text mining", "when using ngrams for text mining is it possible", "what kind of text would you like to use to combine ngrams?", "can you combine grams together?", "where can i combine gram counts in text mining", "can you combine all the numbers with ngrams", "how do i combine ngrams", "what ngram is used for text mining?", "how to combine gram counts in google", "how to combine n gram", "how can ngrams be combined", "how to combine ngrams", "combining gram count" ]

[ "how to find whether all data are positive", "when a statistic is statistically insignificant, a statistic is true", "how do you say a correlation coefficient is positive", "how to test whether the overall effect of a regression is positive", "when is a statistic more significant than p value", "how to say insignificant and positive in a regression", "how to find whether an effect is positive or negative", "how to say n of the results are positive", "which of the following measures a positive coefficient", "how to calculate p value in p value", "how do you tell if a test results are positive", "how to determine which of these variables is positive?", "how do you say that an individual had a positive effect", "how to find a positive coefficient in statistics", "how do you measure an effect", "what is positive p value?", "how to tell if a coefficient is positive", "if the effect of one factor is positive, what is the significance of the others", "which statistic best illustrates that all the results are statistically insignificant?", "when do you test if a coefficient is insignificant" ]

[ "what is the function in glmnet cv", "how to overfit glmnet", "what is the lambda in glmnet", "which is the function of glmnet", "what is cv glmnet", "what is lambda used for in glmnet", "what is lambda vs weights", "what is cv.glmnet used for?", "how are the lambdas used for cross validation", "what is the function for glmnet", "glmnet functions", "what is glmnet in cv", "where is the lambda for the complete data?", "what is cv lambda", "what is the function for cross validation?", "can glmnet overfit", "when is cross validating in glmnet", "what is glmnet over fitting", "what is the glmnet", "when the lambda is extracted" ]

[ "when do you use a parson distribution", "how to use a poisson distribution", "when to use a poisson distribution", "when do you use the poisson distribution", "when is the parson distribution useful", "what is a poisson distribution", "when is the poisson distribution appropriate", "when can you make a poisson distribution", "when to use poisson", "when to use a poisson distribution", "when to use a poisson distribution in probability", "when should a parsison distribution be used?", "what is the point of a poisson distribution", "when to use poisson", "how many days should you use a poisson distribution", "when to use a poisson distribution", "when to use poisson distribution", "how to use a poisson distribution", "when to use poisson distribution", "why is a poisson distribution used" ]

[ "when do you use ci instead of p value", "what is p value in lmer", "which analysis is p value instead of ci", "does lmer report only p value", "can you show p value instead of ci", "why are articles reporting ci instead of p value", "can lmer4 show only p value", "why do some articles use the p value instead of ci", "what is p value instead of ci?", "why not p value in lmer analysis", "CI value in lmer4", "how to use p value instead of ci", "what is the difference between p value and ci", "why is it necessary to use p value when lmer4 is used?", "do you know if an analysis is lmm", "which table is inconclusive when using lmm", "is the value of p value the same as the ci", "what is p value used for in an lmer paper", "what is lmer p value and cit", "do p value and ci always mean same" ]

[ "population risk ratio", "how to calculate relative risk using logistic regression", "how to calculate the incidence of cancer in the population", "population risk ratio for cancer", "how to calculate risk of cancer for population", "logistic regression statistics", "how do i calculate relative risk of cancer", "how to calculate risk of cancer from logistic regression", "population risk ratio", "logistic regression odds ratio to population", "which factor has greater incidence than that of a sample of patients without cancer and in which population", "what is the risk for breast cancer in the sample", "how to use population odds ratio", "how can a prognostic model be applied to a population model", "how to calculate the probability of a cancer attack in the population", "what is the incidence of breast cancer in the sample", "what is or ratio of a population", "logistic regression odds ratio population", "how is incidence of breast cancer calculated?", "how to use logistic regression to test for cancer incidence" ]

[ "r shows error when putting t distance in the csv", "r nan errors", "naans produced error in r", "r error after t-dist", "which nain in sqrt is the value for", "how many warnings are there after t-dist", "warnings when r runs a t-dist", "what does the error mean r when comparing nan", "how many warnings for the data in sqrt", "when r appears, when does it produce a nan value?", "how to tell if t-distr was used in sqrt", "what is the warning code to fit", "where do r errors come from", "how many warnings does r get", "how many warnings do you get if a t-dist is missing", "when using r a t-dist what does the warning sign mean?", "r sd parameters in log in sqrt", "what is the value of nan in r", "what is the a warning r", "how many warnings in r after t-dist" ]

[ "what is pca analysis", "can you compare a linear regression to a graph with a pca", "what is pca data", "is pca used for biological data", "what is pca data", "what is pca", "what is pca", "which data type is used for pca analysis", "what is the difference between pca and pca", "when to use pca in statistics", "can a linear model be used to plot discrete data", "which of the following methods is inappropriate for data analysis", "what is pca", "why pca is inappropriate", "what is pca analysis", "why do they use pca?", "which type of data is used to represent individual traits in a plot?", "what is the statistical use of pca?", "what data type is pca", "why is pca used in biological studies" ]

[ "can r use concatenator to predict survival", "predicting probability of survival using neural networks", "can you predict probability using neural networks", "can you predict probability using neural network", "what package predicts survival", "is nnet a cran package", "what can cran predict", "can you predict survival using neural networks", "predicting probabilities using neural networks", "can you predict probability using neural networks", "what program predicts survival?", "can r predict probability", "predict probability using neural networks", "what can predict probability using neural networks", "how to use cran packages", "what package to use for neural network prediction", "rcran predict probability", "what is computational ran package for prediction", "can i use cran packages for probability prediction?", "what is nnet package" ]

[ "robustness of observational studies", "when is an observational study robust", "why is the observational study robust?", "how can the robustness of observational studies be increased?", "how can the robustness of observational studies be increased", "how can the robustness of observational studies be increased?", "how can the robustness of observational studies be increased?", "what is the purpose of a robust observational study?", "robustness of observational studies", "how can observational studies be increased?", "how can the robustness of observational studies be increased?", "how can the robustness of observational studies be increased?", "what is the purpose of a rigorous observational study?", "how can the robustness of observational studies be increased?", "which type of study can be made more robust", "how can the robustness of observational studies be increased", "how can observational studies be increased?", "can robustness of observational studies", "when can a study be made robust", "how can the robustness of observational studies be increased?" ]

[ "what types of regression models are there", "what types of regression model is used to find the range of the independent variable", "which regression type works better?", "which kind of regression fit best", "which type of regression fits better?", "what type of regression is used for predicting the target variable", "what is the relationship between the independent variables and the target variable?", "which type of regression fits better", "which type of regression is best for the target variable category", "what is the difference between independent and target variable", "types of logistic regression", "different types of regression models", "which type regression fits best", "different types of regression models", "what is the difference between an independent variable and a target variable?", "which type of regression fits better", "how many independent and target variables make a regression", "which type regression fit best", "which type of regression is better in data mining", "which is best type of regression model" ]

[ "is adversarial noise noisy", "adversarial noise definition", "adversarial noise definition", "how to analyze adversarial noise pca", "what is pca of adversarial noise", "is adversarial noise in pca", "what is adversarial noise", "what is pca adversarial noise", "what is the adversarial noise", "adversarial noise definition", "is pca a noise based algorithm?", "adversarial noise example", "adversarial noise definition", "what is adversarial noise", "adversarial pca definition", "adversary noise example pca", "what is an example of adversarial noise?", "adversarial noise definition", "adversarial noise definition", "adversarial noise example" ]

[ "what is random forest variable", "what is random forest used for", "what if you know a variable is likely very important", "what if I know that a variable is probably very important, would it be good to manually increase the probability that this variable be picked in each trees?", "how do random forests work", "when do trees use random forest", "what if a variable is really important in r", "what variable would be useful for random forest tree", "what if a variable is very,so important", "what if i know a variable is important", "what is the random forest", "what if the variable is likely very important in the random forest?", "what is random forest used for", "what is mtry for random forest", "how to use random forest for r", "what if a single variable was chosen randomly", "what is meant by r random forest", "what is random forest", "what is the random forest", "what if you know a variable is important" ]

[ "when are multiple outcomes used", "can you make multiple outcomes", "predicting diseases with multiple outcomes", "what is the outcome for a multiple outcome study", "which subtance is a multiple response", "when comparing multiple outcomes can you make predictions", "which subtance is a multiple outcome", "how to predict different diseases", "why use logistic regression for multiple outcome", "when predicting multiple outcomes, how to do", "what disease is the subject most likely to develop?", "what is the outcome of multiple outcome", "what is multiple outcome", "how to predict a disease when multiple outcomes are based on population data?", "what is the data set of multiple outcome", "when to use multiple outcome data for prediction", "can multiple outcome scenarios cause disease", "what is the meaning of multiple outcomes in statistics", "what type of disease is an example of a multiple outcome", "can multiple outcomes be used for predicting disease" ]

[ "why does the equation in the title hold in general for a simple linear regression?", "which variable of a linear regression is used to calculate nutrient intake?", "do we include the mean nutrient intake and the dependent variable in the linear regression?", "what is the equation for nutrient intake", "what is meant by overline in simple linear regression", "why do we overline for a linear regression", "which variables should be adjusted for the total caloric intake in r regression?", "why is the dependent variable in a linear regression not always the nutrient or mean?", "what is the equation for overline a nutrient intake", "why is it so difficult to add dependent variable in simple linear regression?", "why does the dependent variable overline", "what is the nutrient intake in a simple linear regression", "when an independent variable is added to the independent variable, the dependent variable is the mean.", "which nutrient would be the dependent variable of total caloric intake?", "why do the residuals in a linear regression have to be a vector", "is the dependent variable centered at the mean caloric intake?", "if an independent variable is the dependent variable of a simple logistic regression, a variable should be a mean in terms of the following: _____________________________.", "what variable is used as the means of the mean caloric intake?", "why does a linear regression include the dependent and the independent variable?", "why do i overline a nutrient intake formula" ]

[ "why is inner loop overfitting", "why is the outer loop of the cross validation procedure overfit?", "inner loop overfitting in matlab", "what is the function of the inner loop of the matlab cross validation", "inner loop overfit", "why is inner loop overfitting", "inner loop overfitting", "why is the inner loop of cross validation biased?", "why is inner loop overfitting", "when is nested cross validation overfitting", "what is the purpose of the inner cross validation loop", "why are inner loops overfitted", "why is inner loop overfit", "nested cross validation inner loop", "why does inner loop have overfitting", "what is the inner loop cv?", "what is the inner loop of cross validation", "what is the inner loop of cross validation", "which of the following is overfitting in nested cross validation?", "why is the inner loop overfit" ]

[ "what does df=give as", "what is df in logit", "if the model does not correctly predict the data, what is df", "what is data_frame in r", "which logit model does the data analysis on", "how to test a logit model on new data", "how does df work in logit", "df = a.factor(df$sell), a.gender", "how to test logit model", "how to tell if a model is based on a new set of data in logit", "how do you test a logit model in r", "what is the value of df in logit?", "does logit work on new data", "if a linear model of income is based on new data", "what is df$gender", "how to test a logistic model", "how to find the gender of the logit model in r", "how to test a logit model", "how can you test a logit model", "how to test a logit model" ]

[ "what is the best measure of class complexity", "what is the best measure of class complexity", "which metric is the best measure of how successful the regression is? mean absolute error in java or class absolute error in weka", "what is weka's measure of class complexity", "what is the measure of the complexity improvement rate?", "what's a good measure of class complexity", "how does class complexity improve in regression", "what is the measure of class complexity and mean absolute error when doing a regression?", "average complexity in weka", "which of the following measures is the best measure of how successful a regression is?", "what is a mean absolute error", "what is the best measure of class complexity", "what is the best measure of class complexity?", "which measure is the best measure of how successful the regression is? class complexity", "what is the difference between mean squared error and mean arithmetic complexity improvement", "what is the best sf measure of class complexity", "what is the best measure of class complexity", "difference between mean squared error and class complexity", "what is mean absolute error in weka", "what is the best measure of how successful a regression is?" ]

[ "what is the geometric mean for random variable convergence of the graph?", "what is the geometric mean of uniform random variables", "what is the geometric mean of uniform random variables?", "what's the geometric mean of random variable convergence", "what is the geometric mean of uniform random variable convergence?", "which is the least geometrically significant random variable", "which random variable represents convergence for linear regression", "what is the standard geometric mean of chi squared random variables", "chi squared random variable with 1 degree of freedom", "what is the geometric mean of a linear random variable?", "what is the geometric mean of uniform random variable convergence", "what is the geometric mean of an integer", "what is the geometric method for the convergence of uniform random variable", "what is the geometric means of convergence", "what is the geometric mean of chi squared random variables", "what is the delta method", "what is the geometric mean of chi squared random variable convergence", "which variable chi squares the value of the variable", "how do linear functions differ chi squared random variable and delta method", "what is the chi squared random variables" ]

[ "what is the standard deviation of population", "what is standard deviation of population 1", "how many colours are in a population", "how to compare a population of different colours", "if standard deviation of population is equal to _____, how do i otherwise compare the standard deviation of population 2?", "when comparing variation between populations, what is standard deviation of population 2", "why n2 is larger than population 1", "how to find the standard deviation of a population", "which variable is the standard deviation of a population?", "how to compare variation in population", "what is normal deviation of population 2", "what's a population?", "standard deviation of population", "standard deviation of population 2 and population 1", "why is it necessary to compare the standard deviation of a population of different sizes", "why are the standard deviation for population two different?", "what makes a population 2 larger", "what is the difference in standard deviation between population 1 and population 2", "what is a standard deviation in math", "what is the standard deviation of population 2" ]

[ "which law generates an explicit mechanism of attachment", "which of the following describes the mechanism of attachment? quizlet", "what mechanism generates the emergence of particular structures in networks?", "what mechanism generates the emergence of particular structures in networks", "what mechanism generates the emergence of particular structures in networks?", "what mechanism allows random emergence of a particular structure?", "what mechanism generates the emergence of particular structures in networks", "what mechanism generates the emergence of particular structures", "what mechanisms generate the emergence of particular structures in networks?", "what mechanism of attachment generates the emergence and emergence of certain structures in networks?", "which type of law provides a mechanism of attachment", "what mechanism generates the emergence of particular structures in networks?", "what mechanism generates the emergence of particular structures in networks?", "which law describes a mechanism for emergence of a particular structure", "what mechanisms generate the emergence of particular structures in networks", "which mechanism generates the emergence of particular structures in networks?", "why does an exponential law create the mechanism of attachment?", "what processes produce the emergence of particular structures in networks", "which of the following mechanisms generates the emergence of a particular structure in a network?", "what mechanism generate the emergence of particular structures in networks?" ]

[ "definition of sparse data", "what is sparsity in statistics", "sparse data definition", "sparsity data definitions", "what is sparsity data", "data sparsity definition", "definition of sparsity in statistics", "sparse data definition", "sparse data definition", "define sparseness of data", "what means sparsity in math", "definition sparsity in math", "sparse data definition", "what is sparsity mean", "what is data sparsity", "sparse data definition", "what are sparse data", "definition of sparsity in statistics", "what is the sparsity in a user item matrix", "what does sparsity mean" ]

[ "what test for the ut in proc armania", "which regression test is an augmented dickey fuller", "when a regression is serially correlated does it need a statistical test", "what ai does proc arima use", "what is the dyt test in sas", "does dickeler amplify fuller test for serial correlation", "how to augment regression using ai in sas", "sas proc arima augmented dickey fuller results", "what is the dyt in proc arima", "what is dickey fuller", "how to use proc arima for regression", "which method is used to test a series of regressions", "dyt test sas", "what sas regression software test for serial correlation", "what regression test do i use with adf", "sas proc arima how to test for serial correlation", "how can we check the serial correlation of the ut in a regression", "is dyt a variable in a regression", "what is the dyt in dickey-fuller", "dyt amplifiers" ]

[ "are the product of different independent random variables independent?", "are the products of different independent random variables independent", "are independent random variable", "which variables are independently independent", "are different independent random variables independent", "independent random variables", "independent random variables", "are independent and mutually independent variables independent?", "are different random variables independent", "which two variables are independent of each other", "are products of different independent random variables independent", "are products of independent variables independent", "are the products of different independent random variables independent?", "are ac and cb mutually independent", "are the products of different independent random variables independent", "what is the difference between a independent and independent random variable", "are product independent variable", "can a random variable be independent", "are the products of different independent random variables independent", "are different products of random variables independent?" ]