This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.
- ISBN10 0585389691
- ISBN13 9780585389691
- Publish Date December 2000
- Publish Status Active
- Publish Country US
- Publisher Taylor & Francis Inc
- Imprint Marcel Dekker Inc
- Format eBook
- Pages 442
- Language English