विधियों की तुलना करें

	मजबूत सामान्यीकृत रैखिक मॉडल	सामान्यीकृत रेखीय मॉडल (GLM)
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Regression model	Regression model
उद्भव वर्ष	2001	1972
प्रवर्तक	Cantoni & Ronchetti	John A. Nelder & Robert W. M. Wedderburn
प्रकार	Robust regression model	Regression framework
मौलिक स्रोत	Heritier, S., Cantoni, E., Copt, S., & Victoria-Feser, M.-P. (2009). Robust Methods in Biostatistics. Wiley. ISBN: 978-0470027264	Nelder, J. A., & Wedderburn, R. W. M. (1972). Generalized linear models. Journal of the Royal Statistical Society: Series A (General), 135(3), 370–384.
उपनाम	robust GLM, GLM with robust estimation, robust quasi-likelihood model, M-estimator GLM	GLM, generalized regression, exponential family regression, link-function model
संबंधित	5	6
सारांश	A Robust Generalized Linear Model fits the standard GLM family — linear, logistic, Poisson, and others — using M-type estimating equations that down-weight outlying or influential observations. The result is coefficient estimates and standard errors that remain stable even when a minority of data points deviate sharply from the assumed distribution.	The Generalized Linear Model is a unified regression framework that extends ordinary linear regression to outcomes from the exponential family — including binary, count, proportion, and continuous positive outcomes. A link function connects the linear predictor to the mean of the response, enabling principled modelling beyond the Gaussian case.