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Robust Kendall's Tau Rangkorrelation×Spearman rangkorrelationskoefficient×
FagområdeStatistikStatistik
FamilieHypothesis testHypothesis test
Oprindelsesår1990s–2000s1904
OphavspersonRand Wilcox; Croux & Dehon (robust extensions)Charles Spearman
TypeRobust rank correlationNonparametric rank-based correlation
Oprindelig kildeWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101. DOI ↗
Aliasserrobust tau, skipped Kendall's tau, Winsorized Kendall's tau, outlier-resistant rank correlationSpearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Relaterede54
ResuméRobust 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 Spearman rank correlation coefficient (ρ) is a nonparametric measure of the monotonic association between two variables. Introduced by Charles Spearman in 1904, it converts raw observations to ranks and measures how consistently one variable increases as the other increases, without assuming a normal distribution or a linear relationship.
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ScholarGateSammenlign metoder: Robust Kendall's tau · Spearman Correlation. Hentet 2026-06-18 fra https://scholargate.app/da/compare