Krahasoni metodat

	Korrelacioni Robust (Spearman, Kendall dhe Biweight)	Regresioni me Mënyrën më të Vogël të Katrorëve (OLS)
Fusha	Statistikë	Ekonometri
Familja	Regression model	Regression model
Viti i origjinës	2012	2019
Krijuesi	Spearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition	Wooldridge (textbook treatment); classical least squares
Lloji	Robust correlation measures	Linear regression
Burimi themelues	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
Emërtime të tjera	Spearman correlation, Kendall tau, biweight midcorrelation, rank correlation	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Të lidhura	5	5
Përmbledhja	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).