Generalized Linear Models A Bayesian Perspective
Heftet /
2019
/ Engelsk
Produktdetaljer
ISBN
9780367398606
Publisert
2019-11-01
Utgiver
Taylor & Francis Ltd
Vekt
820 gr
Høyde
246 mm
Bredde
174 mm
Aldersnivå
U, G, 05, 01
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
442
Biografisk notat
Dipak K. Dey, Sujit K. Ghosh , Bani K. Mallick
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.
Les mer
Part 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 GLMs
Produktdetaljer
ISBN
9780367398606
Publisert
2019-11-01
Utgiver
Taylor & Francis Ltd
Vekt
820 gr
Høyde
246 mm
Bredde
174 mm
Aldersnivå
U, G, 05, 01
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
442