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Robuuste Pearsoncorrelatie×Kendall Tau Rangcorrelatie×
VakgebiedStatistiekStatistiek
FamilieHypothesis testHypothesis test
Jaar van ontstaan1970s–1990s1938
GrondleggerRand R. Wilcox and predecessors in robust statisticsMaurice G. Kendall
TypeRobust bivariate association measureRank-based association measure
Oorspronkelijke bronWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1–2), 81–93. DOI ↗
Aliassenwinsorized correlation, percentage bend correlation, robust r, outlier-resistant correlationKendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu
Verwant34
SamenvattingThe 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.Kendall Tau is a nonparametric rank correlation coefficient introduced by Maurice G. Kendall in 1938 to measure the strength and direction of a monotone association between two ordinal or continuous variables. It is particularly suited to small samples and datasets containing many tied ranks, where the Spearman coefficient can be less stable.
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ScholarGateMethoden vergelijken: Robust Pearson correlation · Kendall Tau Correlation. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare