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OverviewThis 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. Full Product DetailsAuthor: Dipak K. Dey , Sujit K. Ghosh , Bani K. MallickPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.820kg ISBN: 9780367398606ISBN 10: 0367398605 Pages: 442 Publication Date: 01 November 2019 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPart 1 Extending the GLMs. Part 2 Categorical and longitudinal data. Part 3 Semiparametric approaches. Part 4 Model diagnositics and value selection in GLMs. Part 5 Challenging problems in GLMsReviewsAuthor InformationDipak K. Dey, Sujit K. Ghosh , Bani K. Mallick Tab Content 6Author Website:Countries AvailableAll regions |