Comparer des méthodes

	Corrélation de Pearson Robuste	Coefficient de corrélation de rang de Spearman
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1970s–1990s	1904
Auteur d'origine	Rand R. Wilcox and predecessors in robust statistics	Charles Spearman
Type	Robust bivariate association measure	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	winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation	Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Apparentées	3	4
Résumé	The robust Pearson correlation is an outlier-resistant measure of linear association between two continuous variables. By applying Winsorizing, trimming, or percentage-bend transformations before computing the classic Pearson r, it retains the interpretability of a correlation coefficient while dramatically reducing the distortion caused by extreme values.	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.