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Robuuste Pearsoncorrelatie×Spearman Rangcorrelatiecoëfficiënt×
VakgebiedStatistiekStatistiek
FamilieHypothesis testHypothesis test
Jaar van ontstaan1970s–1990s1904
GrondleggerRand R. Wilcox and predecessors in robust statisticsCharles Spearman
TypeRobust bivariate association measureNonparametric rank-based correlation
Oorspronkelijke bronWilcox, 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 ↗
Aliassenwinsorized correlation, percentage bend correlation, robust r, outlier-resistant correlationSpearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Verwant34
SamenvattingThe 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 vergelijken: Robust Pearson correlation · Spearman Correlation. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare