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Robust Correlation

Robust Correlation is a family of association measures that resist outliers, covering Spearman's rank correlation, Kendall's tau, and the biweight midcorrelation. Drawing on the robust-statistics tradition described by Wilcox (2012) and Shevlyakov & Oja (2016), it measures how strongly two variables move together without being distorted by a few extreme points.

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Robust Correlation (Spearman, Kendall, and Biweight)

Taksonoomiline meetodikirje · regression-model / statistics

Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing. Academic Press. · ISBN 978-0123869838
Shevlyakov, G. & Oja, H. (2016). Robust Correlation: Theory and Applications. Wiley. · ISBN 978-1118493458

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