Methoden vergleichen

	Jonckheere-Terpstra-Test für geordnete Alternativen	Friedman-Test
Fachgebiet	Statistik	Statistik
Familie	Hypothesis test	Hypothesis test
Entstehungsjahr	1952	1937
Urheber	A. R. Jonckheere and T. J. Terpstra	Milton Friedman
Typ	Nonparametric trend test	Nonparametric repeated-measures comparison (by ranks)
Wegweisende Quelle	Jonckheere, A. R. (1954). A distribution-free k-sample test against ordered alternatives. Biometrika, 41(1-2), 133–145.	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.
Aliasnamen	Jonckheere-Terpstra Testi, JT test, ordered k-sample test, trend test for ordered groups	Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi
Verwandt	5	2
Zusammenfassung	The Jonckheere-Terpstra test is a nonparametric hypothesis test that detects a monotone trend across k ordered groups — testing whether the outcome rises (or falls) systematically as the group order increases. Developed independently by T. J. Terpstra (1952) and A. R. Jonckheere (1954), it is the directional, ordered-alternative counterpart to the Kruskal-Wallis test.	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.