Generalized Linear Models with Varying Dispersion

Generalized linear models are further generalized to include a linear predictor for the dispersion as well as for the mean. It is shown how the convenient structure of generalized linear models can be carried over to this more general setting by considering the mean and dispersion structure separate...

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Veröffentlicht in:	Journal of the Royal Statistical Society. Series B, Methodological Methodological, 1989, Vol.51 (1), p.47-60
1. Verfasser:	Smyth, Gordon K.
Format:	Artikel
Sprache:	eng
Schlagworte:	deviance components Exact sciences and technology Gaussian distributions Generalized linear model Induced substructures inverse gaussian and gamma distributions iterative algorithms Linear inference, regression Linear models Linear regression Mathematical functions Mathematics Maximum likelihood estimation normal Parametric models Probability and statistics quasi‐likelihood Sciences and techniques of general use Statistical variance Statistics Variance
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