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1. Nonparametric One benefit of the Kruskal-Wallis test is that it is nonparametric, as data can be pulled from a sample that is not adherent to a specific distribution.
We present a novel family of non-parametric omnibus tests of the hypothesis that two unknown but estimable functions are equal in distribution when applied to the observed data structure. We developed ...
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