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Robust Spearman Correlation×रॉबस्ट केंडल का टाऊ रैंक कोरिलेशन×
क्षेत्रसांख्यिकीसांख्यिकी
परिवारHypothesis testHypothesis test
उद्भव वर्ष1990s–2000s1990s–2000s
प्रवर्तकRand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)Rand Wilcox; Croux & Dehon (robust extensions)
प्रकारRobust nonparametric correlationRobust rank correlation
मौलिक स्रोतWilcox, 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
उपनामWinsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearmanrobust tau, skipped Kendall's tau, Winsorized Kendall's tau, outlier-resistant rank correlation
संबंधित55
सारांशRobust 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.Robust 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.
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