Salīdzināt metodes

	Džonker-Terpstras tests kārtotām alternatīvām	Frīdmana tests
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1952	1937
Autors	A. R. Jonckheere and T. J. Terpstra	Milton Friedman
Tips	Nonparametric trend test	Nonparametric repeated-measures comparison (by ranks)
Pirmavots	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.
Citi nosaukumi	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
Saistītās	5	2
Kopsavilkums	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.