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 that in McCullagh & Nelder (1989) or, with focus on the GLIM package, that in Aitkin, Anderson, Francis & Hinde (1989). Shorter introductions are given, e.g., by Dobson (1989), Firth (1991), and Fahrmeir, Hamerle & Tutz (1996). Collett (1991) focuses on modelling of binary data and discusses practical aspects in more detail.
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© 2001 Springer Science+Business Media New York
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Fahrmeir, L., Tutz, G. (2001). 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/10.1007/978-1-4757-3454-6_2
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DOI: https://doi.org/10.1007/978-1-4757-3454-6_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2900-6
Online ISBN: 978-1-4757-3454-6
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