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
In scientific research, the null hypothesis (often denoted ''H''0) is the claim that no difference or relationship exists between two sets of data or variables being analyzed. The null hypothesis is that any experimentally observed difference is d ...
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.
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".
See also
*
Tukey's range test
Tukey's range test, also known as Tukey's test, Tukey method, Tukey's honest significance test, or Tukey's HSD (honestly significant difference) test, Also occasionally as "honestly," see e.g. is a single-step multiple comparison procedure and ...
References
Statistical tests
Nonparametric statistics
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