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Robuste Pearson-Korrelation×Spearman-Rangkorrelationskoeffizient×
FachgebietStatistikStatistik
FamilieHypothesis testHypothesis test
Entstehungsjahr1970s–1990s1904
UrheberRand R. Wilcox and predecessors in robust statisticsCharles Spearman
TypRobust bivariate association measureNonparametric rank-based correlation
Wegweisende QuelleWilcox, 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 ↗
Aliasnamenwinsorized correlation, percentage bend correlation, robust r, outlier-resistant correlationSpearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Verwandt34
ZusammenfassungThe 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.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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ScholarGateMethoden vergleichen: Robust Pearson correlation · Spearman Correlation. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare