Sammenlign metoder

	Nemenyi Post-Hoc Test for Friedman	Friedman-test
Fagområde	Statistik	Statistik
Familie	Hypothesis test	Hypothesis test
Oprindelsesår	1963	1937
Ophavsperson	Peter Nemenyi	Milton Friedman
Type	Nonparametric post-hoc multiple comparison	Nonparametric repeated-measures comparison (by ranks)
Oprindelig kilde	Nemenyi, P. (1963). Distribution-Free Multiple Comparisons. PhD thesis, Princeton University.	Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701.
Aliasser	Nemenyi Testi — Friedman Post-Hoc, Nemenyi multiple comparison test, Nemenyi procedure	Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi
Relaterede	5	2
Resumé	The Nemenyi test is a nonparametric post-hoc multiple comparison procedure introduced by Peter Nemenyi in his 1963 Princeton doctoral thesis. It is applied after a significant Friedman test to identify which specific pairs of conditions differ from each other in a repeated-measures or blocked design.	The Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative to repeated-measures ANOVA. It was introduced by Milton Friedman in 1937 and works on ordinal or continuous data without assuming normality.