Generalized Linear Models, 2nd Ed. by P. McCullagh and J. Nelder
广义线性模型,经典中的经典
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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