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Use this tag to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributions, whereas parametric methods make assumptions that allow data to be described by a small number of parameters.
18
votes
Bootstrap vs. permutation hypothesis testing
If you are using R, then they are all easy to implement. See, for instance, http://www.burns-stat.com/pages/Tutor/bootstrap_resampling.html
I would say there is a third major technique: cross valid …