Compara mètodes

	Correlació de Spearman robusta	Coeficient de correlació de rangs de Spearman
Camp	Estadística	Estadística
Família	Hypothesis test	Hypothesis test
Any d'origen	1990s–2000s	1904
Autor original	Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)	Charles Spearman
Tipus	Robust nonparametric correlation	Nonparametric rank-based correlation
Font seminal	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.
Àlies	Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman	Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Relacionats	5	4
Resum	Robust Spearman correlation is an outlier-resistant measure of monotonic association between two variables. It applies robustification strategies — such as Winsorizing extreme ranks or using the percentage-bend approach — to protect Spearman's rho against distortion from outliers or heavy-tailed distributions, while retaining its nonparametric rank-based character.	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.