Resampling is any technique of generating a new sample from an existing dataset.
There is a variety of methods for 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 rerandomization tests)
Validating models by using random subsets (bootstrapping, crossvalidation).
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