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Robuuste Kendall's Tau Rangcorrelatie×Robuuste Pearsoncorrelatie×
VakgebiedStatistiekStatistiek
FamilieHypothesis testHypothesis test
Jaar van ontstaan1990s–2000s1970s–1990s
GrondleggerRand Wilcox; Croux & Dehon (robust extensions)Rand R. Wilcox and predecessors in robust statistics
TypeRobust rank correlationRobust bivariate association measure
Oorspronkelijke bronWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
Aliassenrobust tau, skipped Kendall's tau, Winsorized Kendall's tau, outlier-resistant rank correlationwinsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation
Verwant53
SamenvattingRobust 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.The 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.
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ScholarGateMethoden vergelijken: Robust Kendall's tau · Robust Pearson correlation. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare