Hypothesis testClassical statistics

Robust Spearman Correlation

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.

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Sources

  1. Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
  2. Wilcox, R. R. (1994). The percentage bend correlation coefficient. Psychometrika, 59(4), 601–616. DOI: 10.1007/BF02294395

Related methods

Referenced by

ScholarGateRobust Spearman Correlation (Robust Spearman Rank Correlation). Retrieved 2026-06-04 from https://scholargate.app/tr/statistics/robust-spearman-correlation