Generalized Linear Models

Part of the Statistics and Computing book series (SCO)


Generalized linear models (GLMs) extend linear models to accommodate both non-normal response distributions and transformations to linearity. (We assume that Chapter 6 has been read before this chapter.) The essay by Firth (1991) gives a good introduction to GLMs; the comprehensive reference is McCullagh & Nelder (1989).


Generalize Linear Model Data Frame Linear Predictor Negative Binomial Model Residual Deviance 
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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  1. 1.CSIRO Marine LaboratoriesClevelandAustralia
  2. 2.University of OxfordOxfordUK

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