Resampling methods for small samples or samples with complex dependence structures [https://github.com/gnu-octave/statistics-resampling/]
Description
The statistics-resampling package is an Octave package and Matlab toolbox that can be used to perform a wide variety of statistics tasks using non-parametric resampling methods. In particular, the functions included can be used to estimate bias, uncertainty (standard errors and confidence intervals), prediction error, information criteria, and calculate p-values for null hypothesis significance tests. Variations of the resampling methods are included that improve the accuracy of the statistics for small samples and samples with complex dependence structures. (The GitHub repository for the statistics-resampling package is forked from the repository of an older version of this package called iboot)
Files
statistics-resampling-5.6.0.zip
Files
(2.3 MB)
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md5:2d5402d44f9581c26893e10682991180
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Additional details
Identifiers
Dates
- Updated
-
2024-06-17Release version 5.6.0
Software
- Repository URL
- https://github.com/gnu-octave/statistics-resampling
- Programming language
- MATLAB , C++ , HTML
- Development Status
- Active