Randomization test | Wikipedia audio article
Channel: wikipedia tts
Date: 06/10/2019

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Resampling_(statistics)


00:00:25 1 Bootstrap
00:01:15 2 Jackknife
00:02:05 3 Comparison of bootstrap and jackknife
00:02:55 4 Subsampling
00:03:45 5 Cross-validation
00:04:35 6 Permutation tests
00:06:41 6.1 Relation to parametric tests
00:07:31 6.2 Advantages
00:08:21 6.3 Limitations
00:09:11 6.4 Monte Carlo testing
00:10:27 7 See also



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SUMMARY
=======
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)