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Коэффициент корреляции Пирсона×Ранговая корреляция Кендалла Тау×
ОбластьСтатистикаСтатистика
СемействоHypothesis testHypothesis test
Год появления18951938
Автор методаKarl PearsonMaurice G. Kendall
ТипParametric correlationRank-based association measure
Основополагающий источникCohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1–2), 81–93. DOI ↗
Другие названияpearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon AnaliziKendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu
Связанные44
СводкаThe Pearson product-moment correlation coefficient (r) is a parametric measure of the direction and strength of the linear association between two continuous variables. Introduced by Karl Pearson in 1895, it remains the most widely used bivariate correlation statistic in the social, health, and natural sciences. The coefficient ranges from −1 (perfect negative linear relationship) to +1 (perfect positive), with 0 indicating no linear association.Kendall Tau is a nonparametric rank correlation coefficient introduced by Maurice G. Kendall in 1938 to measure the strength and direction of a monotone association between two ordinal or continuous variables. It is particularly suited to small samples and datasets containing many tied ranks, where the Spearman coefficient can be less stable.
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ScholarGateСравнение методов: Pearson Correlation · Kendall Tau Correlation. Получено 2026-06-18 из https://scholargate.app/ru/compare