Resampling is any of a variety of methods for estimating the precision of sample statistics by jackknifing or bootstrapping. In it also used to validating models by using random subsets (bootstrapping, cross validation).
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In statistics, resampling is any of a variety of methods for doing one of the following:
Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknifing) or drawing randomly with replacement from a set of data points (bootstrapping)
Exchanging labels on data points when performing significance tests (permutation tests, also called exact tests, randomization tests, or re-randomization tests)
Validating models by using random subsets (bootstrapping, cross validation)
Common resampling techniques include bootstrapping, jackknifing and permutation tests.