Comparer des méthodes

	Corrélation de Pearson Robuste	Corrélation de Pearson par le produit des moments
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1970s–1990s	1895
Auteur d'origine	Rand R. Wilcox and predecessors in robust statistics	Karl Pearson
Type	Robust bivariate association measure	Parametric correlation
Source fondatrice	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates.
Alias	winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation	pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi
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 Pearson product-moment correlation coefficient (r) is a parametric measure of the direction and strength of the linear association between two continuous variables. Introduced by Karl Pearson in 1895, it remains the most widely used bivariate correlation statistic in the social, health, and natural sciences. The coefficient ranges from −1 (perfect negative linear relationship) to +1 (perfect positive), with 0 indicating no linear association.