Analysis of Robust Quasi-deviances for Generalized Linear Models

Generalized linear models (McCullagh and Nelder 1989) are a popular technique for modeling a large variety of continuous and discrete data. They assume that the response variables Yi , for i = 1, . . . , n, come from a distribution belonging to the exponential family, such that E[Yi ] = ?i and V[Yi...

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Bibliographic Details
Main Author: Eva Cantoni
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2004-04-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/1404