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Robust Generalized linear model

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.

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Robust Generalized Linear Model

Taksonoomiline meetodikirje · regression-model / statistics

Heritier, S., Cantoni, E., Copt, S., & Victoria-Feser, M.-P. (2009). Robust Methods in Biostatistics. Wiley. · ISBN 978-0470027264
Cantoni, E., & Ronchetti, E. (2001). Robust inference for generalized linear models. Journal of the American Statistical Association, 96(455), 1022–1030. · DOI 10.1198/016214501753209004

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Taxonomic bucketGeneralized Linear Modelmachine-suggested · Relational suggestion, not evidence.Same method familyRobust Logistic Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Multiple linear regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Poisson Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Regressionmachine-suggested · Relational suggestion, not evidence.