Nemenyi Test
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A Nemenyi Test is a post-hoc test for finding groups of data after a multiple comparisons test rejected the null hypothesis.
- AKA: Nemenyi-Damico-Wolfe-Dunn Test.
- See: Peter Nemenyi, Statistics, Post-Hoc Analysis, Multiple Comparisons, Friedman Test, Null Hypothesis.
References
2016
- (Wikipedia, 2016) ⇒ https://en.wikipedia.org/wiki/Nemenyi_test Retrieved:2016-12-17.
- 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".
- 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.
- ↑ Nemenyi, P.B. (1963) Distribution-free Multiple Comparisons. PhD thesis, Princeton University.