Abstract
The material in this chapter provides an introduction to univariate generalized linear models and serves as a basis for the following chapters, which contain extensions, e.g., to multivariate, nonparametric, random effects or dynamic models. It is not intended to replace a deeper study of detailed expositions like in McCullagh and Neider (1989) or, with focus on the GLIM package, in Aitkin, Anderson, Francis and Hinde (1989). Shorter introductions are given, e.g., by Dobson (1989), Firth (1991) and Fahrmeir and Kredler (1984). Collett (1991) focuses on modelling of binary data and discusses practical aspects in more detail.
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© 1994 Springer Science+Business Media New York
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Fahrmeir, L., Tutz, G. (1994). Modelling and analysis of cross—sectional data: a review of univariate generalized linear models. In: Multivariate Statistical Modelling Based on Generalized Linear Models. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-0010-4_2
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DOI: https://doi.org/10.1007/978-1-4899-0010-4_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4899-0012-8
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