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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.

11 votes

Is there a multiple-sample version or alternative to the Kolmogorov-Smirnov Test?

There is an R package kSamples that gives you, among other things, a non-parametric k-sample Anderson-Darling test. The null hypothesis is that all k samples came from the same distribution which does …
András Aszódi's user avatar