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Robust penalized regression spline fitting with application to additive mixed modeling

✍ Scribed by Thomas C. M. Lee; Hee-Seok Oh


Publisher
Springer
Year
2007
Tongue
English
Weight
448 KB
Volume
22
Category
Article
ISSN
0943-4062

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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