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Robustní Pearsonova korelace×Kendallovo Tau korelační koeficient pořadí×
OborStatistikaStatistika
RodinaHypothesis testHypothesis test
Rok vzniku1970s–1990s1938
TvůrceRand R. Wilcox and predecessors in robust statisticsMaurice G. Kendall
TypRobust bivariate association measureRank-based association measure
Původní zdrojWilcox, 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 ↗
Další názvywinsorized correlation, percentage bend correlation, robust r, outlier-resistant correlationKendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu
Příbuzné34
ShrnutíThe 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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ScholarGatePorovnat metody: Robust Pearson correlation · Kendall Tau Correlation. Získáno 2026-06-17 z https://scholargate.app/cs/compare