Comparar métodos

	Correlación de Spearman Robusta	Correlación robusta de rangos de Tau de Kendall
Campo	Estadística	Estadística
Familia	Hypothesis test	Hypothesis test
Año de origen	1990s–2000s	1990s–2000s
Autor original	Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)	Rand Wilcox; Croux & Dehon (robust extensions)
Tipo	Robust nonparametric correlation	Robust rank correlation
Fuente seminal	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
Alias	Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman	robust tau, skipped Kendall's tau, Winsorized Kendall's tau, outlier-resistant rank correlation
Relacionados	5	5
Resumen	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.	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.