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Robust Spearman-korrelasjon×Robust Pearson-korrelasjon×
FagfeltStatistikkStatistikk
FamilieHypothesis testHypothesis test
Opprinnelsesår1990s–2000s1970s–1990s
OpphavspersonRand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)Rand R. Wilcox and predecessors in robust statistics
TypeRobust nonparametric correlationRobust bivariate association measure
Opprinnelig kildeWilcox, 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
AliasWinsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearmanwinsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation
Relaterte53
SammendragRobust 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.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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ScholarGateSammenlign metoder: Robust Spearman Correlation · Robust Pearson correlation. Hentet 2026-06-17 fra https://scholargate.app/no/compare