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Korelasi Peringkat Kendall's Tau yang Teguh×Korelasi Spearman Teguh×
BidangStatistikStatistik
KeluargaHypothesis testHypothesis test
Tahun asal1990s–2000s1990s–2000s
PengasasRand Wilcox; Croux & Dehon (robust extensions)Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)
JenisRobust rank correlationRobust nonparametric correlation
Sumber perintisWilcox, 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
Aliasrobust tau, skipped Kendall's tau, Winsorized Kendall's tau, outlier-resistant rank correlationWinsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman
Berkaitan55
RingkasanRobust 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.Robust Spearman correlation is an outlier-resistant measure of monotonic association between two variables. It applies robustification strategies — such as Winsorizing extreme ranks or using the percentage-bend approach — to protect Spearman's rho against distortion from outliers or heavy-tailed distributions, while retaining its nonparametric rank-based character.
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ScholarGateBandingkan kaedah: Robust Kendall's tau · Robust Spearman Correlation. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare