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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.
4
votes
Friedman test and post-hoc test for Python
Complementing the other answer, since you asked about implementation of the post-hoc tests in Python: the Orange library implements the post-hoc tests (Nemenyi and Bonferroni-Dunn), including a functi …