Krahasoni metodat

	Regresioni Huber	Vlerësimi MM për Regresion Robust
Fusha	Statistikë	Statistikë
Familja	Regression model	Regression model
Viti i origjinës	1964	1987
Krijuesi	Peter J. Huber	Victor J. Yohai
Lloji	Robust linear regression (M-estimation)	Robust linear regression
Burimi themelues	Huber, P. J. (1964). Robust Estimation of a Location Parameter. Annals of Mathematical Statistics, 35(1), 73-101.	Yohai, V. J. (1987). High Breakdown-Point and High Efficiency Robust Estimates for Regression. Annals of Statistics, 15(2), 642-656.
Emërtime të tjera	Huber M-estimator, Huber loss regression, robust regression, Huber Regresyonu	MM-estimation, MM robust regression, high-breakdown high-efficiency estimator, MM-Tahmin Edici
Të lidhura	5	5
Përmbledhja	Huber regression is a robust linear regression method, introduced by Peter J. Huber in 1964, that resists the influence of outliers by treating small and large residuals differently. It applies a squared (OLS-like) loss to small residuals and a milder absolute-value loss to large ones, so extreme observations cannot dominate the fit.	The MM-estimator is a robust linear regression method introduced by Victor J. Yohai in 1987. It combines the high breakdown point of an S-estimator with the high efficiency of an M-estimator, so it resists outliers strongly while still using the data efficiently when errors are well-behaved.