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Odporna korelacja rangowa Spearmana×Współczynnik korelacji rang Spearmana×
DziedzinaStatystykaStatystyka
RodzinaHypothesis testHypothesis test
Rok powstania1990s–2000s1904
TwórcaRand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)Charles Spearman
TypRobust nonparametric correlationNonparametric rank-based correlation
Źródło pierwotneWilcox, 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 ↗
Inne nazwyWinsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant SpearmanSpearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Pokrewne54
PodsumowanieRobust 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 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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ScholarGatePorównaj metody: Robust Spearman Correlation · Spearman Correlation. Pobrano 2026-06-17 z https://scholargate.app/pl/compare