Monday, March 28, 2016

mathworks.com resampling techniques to estimate descriptive statistics and confidence intervals from sample data when parametric test assumptions are not met, or for small samples from non-normal distributions

http://www.mathworks.com/help/stats/resampling-techniques.html


http://www.mathworks.com/help/stats/resampling-techniques.html

Resample data set using bootstrap, jackknife, and cross validation
Use resampling techniques to estimate descriptive statistics and confidence intervals from sample data when parametric test assumptions are not met, or for small samples from non-normal distributions. Bootstrap methods choose random samples with replacement from the sample data to estimate confidence intervals for parameters of interest. Jackknife systematically recalculates the parameter of interest using a subset of the sample data, leaving one observation out of the subset each time (leave-one-out resampling). From these calculations, it estimates the parame

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