Function BSTRAP computes values of user-defined scalar-, vector- or matrix-valued statistics in the original sample, and in B bootstrap samples of size m <=n, where n is the number of rows in X. Addressing limitations of BOOTSTRP (Statistics Toolbox, v. 5-6), BSTRAP accepts 'fixed', i.e. non-resampled, matrix-valued input arguments, and allows both matrix- and structure-valued output - which can be summarized with function BSTATS, calculating average, sample variance and (2.5, 97.5) percentiles of a bootstrap distribution.
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Dimitri Shvorob (2024). Bootstrap a statistic (https://www.mathworks.com/matlabcentral/fileexchange/14664-bootstrap-a-statistic), MATLAB Central File Exchange. Retrieved .
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- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Resampling Techniques >
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Inspired by: Plot a univariate histogram
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Version | Published | Release Notes | |
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1.0.0.0 | BSD |