Function JKNIFE computes values of user-defined scalar-, vector- or matrix-valued statistics in the original sample, and in n leave-one-out samples, where n is the number of rows in X. Addressing limitations of JACKKNIFE (Statistics Toolbox, v. 6), JKNIFE accepts 'fixed', i.e. non-resampled, matrix-valued input arguments, and allows both matrix- and structure-valued output - which can be summarized with function JSTATS, calculating jackknife mean and variance estimates. (A simple 'bias-adjusted' mean estimator is implemented).
Cite As
Dimitri Shvorob (2024). Jackknife a statistic (https://www.mathworks.com/matlabcentral/fileexchange/14666-jackknife-a-statistic), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Resampling Techniques >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
jknife/
jknife/html/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 | BSD |