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Robust Inference in Conditionally Linear Nonlinear Regression Models

✍ Scribed by ROBERT L. PAIGE; P. HARSHINI FERNANDO


Book ID
111008869
Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
532 KB
Volume
35
Category
Article
ISSN
0303-6898

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Robust inference for generalized linear
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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