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A large class of models derived from generalized linear models.

J A Nelder
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Abstract

Generalized linear models may be extended in several ways. This paper describes five such extensions: (i) generalized additive models; (ii) the use of quasi-likelihood; (iii) joint modelling of mean and dispersion; (iv) introduction of extra random components to give hierarchical generalized linear models; (v) modelling of correlated responses within subjects in longitudinal models. These extensions are largely independent, and so can be combined in many ways to produce a large class of models. Finally, a further extension to dynamic forms of the models is sketched.

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J A Nelder. 1998-12-15. A large class of models derived from generalized linear models.. https://doi.org/10.1002/(sici)1097-0258(19981215)17%3A23%3C2747%3A%3Aaid-sim40%3E3.0.co%3B2-i

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