Salīdzināt metodes

	Kendall Tau ranga korelacijas koeficients	Pīrsona momentu korelācijas koeficients
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1938	1895
Autors	Maurice G. Kendall	Karl Pearson
Tips	Rank-based association measure	Parametric correlation
Pirmavots	Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1–2), 81–93.	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates.
Citi nosaukumi	Kendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu	pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi
Saistītās	4	4
Kopsavilkums	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.	The 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.