手法を比較

	頑健な相関（スピアマン、ケンドール、およびバイウェイト）	スペルマン順位相関係数
分野	統計学	統計学
系統	Regression model	Hypothesis test
提唱年	2012	1904
提唱者	Spearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition	Charles Spearman
種類	Robust correlation measures	Nonparametric rank-based correlation
原典	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing. Academic Press. ISBN: 978-0123869838	Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101.
別名	Spearman correlation, Kendall tau, biweight midcorrelation, rank correlation	Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
関連	5	4
概要	Robust Correlation is a family of association measures that resist outliers, covering Spearman's rank correlation, Kendall's tau, and the biweight midcorrelation. Drawing on the robust-statistics tradition described by Wilcox (2012) and Shevlyakov & Oja (2016), it measures how strongly two variables move together without being distorted by a few extreme points.	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.