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 (2026). Jackknife a statistic (https://se.mathworks.com/matlabcentral/fileexchange/14666-jackknife-a-statistic), MATLAB Central File Exchange. Retrieved .
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- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions and Hypothesis Tests > Resampling Techniques >
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 | BSD |
