If you produce many bootstrap samples and calculate a statistic in each of them, then under certain conditions, the distribution of that statistic across the bootstrap samples is the sampling distribution of that statistic. In fact, each observation has the same probability of being selected for each bootstrap sample.īootstrap is commonly used to calculate standard errors. If you have a data set of size \(N\), then (in its simplest form) a “bootstrap sample” is a data set that randomly selects \(N\) rows from the original data, perhaps taking the same row multiple times. This site uses Just the Docs, a documentation theme for Jekyll.īoostrapping is a statistical method that uses random sampling with replacement to determine the sampling variation of an estimate.
Import a Delimited Data File (CSV, TSV).Graphing a By-Group or Over-Time Summary Statistic.Marginal Effects Plots for Interactions with Continuous Variables.Marginal effects plots for interactions with categorical variables.Line Graph with Labels at the Beginning or End of Lines.Marginal Effects in Nonlinear Regression.Density Discontinuity Tests for Regression Discontinuity.Random/Mixed Effects in Linear Regression.McFadden's Choice Model (Alternative-Specific Conditional Logit).Determine the Observation Level of a Data Set.Creating a Variable with Group Calculations.
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