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Nemenyi test : ウィキペディア英語版 | Nemenyi test In statistics, the Nemenyi test is a post-hoc test intended to find the groups of data that differ after a statistical test of multiple comparisons (such as the Friedman test) has rejected the null hypothesis that the performance of the comparisons on the groups of data is similar. The test makes pair-wise tests of performance. The test is named after Peter Nemenyi.〔Nemenyi, P.B. (1963) ''Distribution-free Multiple Comparisons''. PhD thesis, Princeton University.〕 The test is sometimes referred to as the "Nemenyi–Damico–Wolfe–Dunn test". ==See also==
* Tukey's range test
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