قارن الطرق

	الارتباط المتين (سبيرمان، كندال، والوسط المرجح)	انحدار المربعات الصغرى العادية (OLS)
المجال	الإحصاء	الاقتصاد القياسي
العائلة	Regression model	Regression model
سنة النشأة	2012	2019
صاحب الطريقة	Spearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition	Wooldridge (textbook treatment); classical least squares
النوع	Robust correlation measures	Linear regression
المصدر التأسيسي	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing. Academic Press. ISBN: 978-0123869838	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
الأسماء البديلة	Spearman correlation, Kendall tau, biweight midcorrelation, rank correlation	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
ذات صلة	5	5
الملخص	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.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).