Comparer des méthodes

	Tau de Kendall robuste	Coefficient de corrélation de rang de Spearman
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1990s–2000s	1904
Auteur d'origine	Rand Wilcox; Croux & Dehon (robust extensions)	Charles Spearman
Type	Robust rank correlation	Nonparametric rank-based correlation
Source fondatrice	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101.
Alias	robust tau, skipped Kendall's tau, Winsorized Kendall's tau, outlier-resistant rank correlation	Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Apparentées	5	4
Résumé	Robust Kendall's tau estimates the monotone association between two variables using rank-based concordance counts, but augments the standard procedure with outlier detection or Winsorization so that a small number of extreme observations cannot distort the result. It is appropriate when data are ordinal or continuous and bivariate outliers are plausible.	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.