Comparer des méthodes

	Test des scores normaux de Van der Waerden	Analyse de variance à un facteur
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1952	1925
Auteur d'origine	Bartel Leendert van der Waerden	Ronald A. Fisher
Type	Nonparametric k-sample comparison via normal scores	Parametric mean comparison
Source fondatrice	van der Waerden, B.L. (1952). Order Tests for the Two-Sample Problem and Their Power. Indagationes Mathematicae, 14, 453–458.	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.
Alias	normal scores test, Van der Waerden k-sample test, Van der Waerden Testi — Normal Skor	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Apparentées	6	4
Résumé	The Van der Waerden test is a nonparametric k-sample hypothesis test that converts observations into normal scores — the quantiles of a standard normal distribution — before comparing groups. Introduced by Bartel Leendert van der Waerden in 1952, it can achieve higher statistical power than the Kruskal-Wallis test when the underlying distributions are symmetric, making it a compelling bridge between rank-based and parametric methods.	One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.