Generalized Linear Models
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Generalized linear models (GLMs) extend linear models to accommodate both non-normal response distributions and transformations to linearity. (We will 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 & Neider (1989).
KeywordsGeneralize Linear Model Linear Predictor Negative Binomial Model Residual Deviance Stimulus Factor
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