Nemenyi test

In statistics, the Nemenyi test is a post-hoc test intended to find the groups of data that differ after a global statistical test (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.[1]

The test is sometimes referred to as the "Nemenyi–Damico–Wolfe test", when regarding one-sided multiple comparisons of "treatments" versus "control", but it can also be referred to as the "Wilcoxon–Nemenyi–McDonald–Thompson test", when regarding two-sided multiple comparisons of "treatments" versus "treatments".[2]

See also

References
  1. Nemenyi, P.B. (1963) Distribution-free Multiple Comparisons. PhD thesis, Princeton University.
  2. Hollander; Wolfe, Douglas A. (1999). Nonparametric Statistical Methods (2nd ed.). ISBN 0-471-19045-4.


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