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Synopsis
This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models that have been developed on the basis of GLM theory, including GAM, ordered binomial models, multinomial logit and probit models, GEE and other quasi-likelihood models, fixed and random effects models, and random intercept and random parameter models. Using Stata, the book offers numerous examples to assist you in applying the models to your own data situations.
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- PublisherStata Press
- Publication date2012
- ISBN 10 1597181056
- ISBN 13 9781597181051
- BindingPaperback
- LanguageEnglish
- Edition number3
- Number of pages479
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