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.[1]

The test is sometimes referred to as the "Nemenyi–Damico–Wolfe–Dunn test".[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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