1. Introduction
2. An outline of generalized linear models
3. Models for continuous data with constant variance
4. Binary data
5. Models for polytomous data
6. Log-linear models
7. Conditional likelihoods
8. Models with constant coefficient of variation
9. Quasi-likelihood functions
10. Joint modelling of mean and dispersion
11. Models with additional non-linear parameters
12. Model checking
13. Models for survival data
14. Components of dispersion
15. Further topics
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