Comparar métodos

	Correlación de rangos de Tau de Kendall	Coeficiente de correlación de rangos de Spearman
Campo	Estadística	Estadística
Familia	Hypothesis test	Hypothesis test
Año de origen	1938	1904
Autor original	Maurice G. Kendall	Charles Spearman
Tipo	Rank-based association measure	Nonparametric rank-based correlation
Fuente seminal	Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1–2), 81–93.	Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101.
Alias	Kendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu	Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Relacionados	4	4
Resumen	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 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.