Comparer des méthodes

	Corrélation de rang Tau de Kendall	Coefficient de corrélation de rang de Spearman
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1938	1904
Auteur d'origine	Maurice G. Kendall	Charles Spearman
Type	Nonparametric rank correlation	Nonparametric rank-based correlation
Source fondatrice	Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93.	Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101.
Alias	Kendall tau, Kendall rank correlation, tau-b, tau-c	Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Apparentées	4	4
Résumé	Kendall's tau is a nonparametric measure of the ordinal association between two variables. It quantifies how consistently the relative ordering of one variable matches the ordering of another across all observation pairs, making it robust to outliers and suitable for ordinal or non-normally distributed data.	The Spearman rank correlation coefficient (ρ) is a nonparametric measure of the monotonic association between two variables. Introduced by Charles Spearman in 1904, it converts raw observations to ranks and measures how consistently one variable increases as the other increases, without assuming a normal distribution or a linear relationship.