Robust inference for generalized linear
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Gianfranco Adimari; Laura Ventura
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Article
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2001
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Elsevier Science
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English
β 125 KB
In this paper we consider a suitable scale adjustment of the estimating function which deΓΏnes a class of robust M-estimators for generalized linear models. This leads to a robust version of the quasi-proΓΏle loglikelihood which allows us to derive robust likelihood ratio type tests for inference and