Bayesian statistical modelling
By: Peter Congdon.
Edition: 2nd ed.
Series: Wiley series in probability and statistics
Publisher: John Wiley & Sons
Published: 2006
Place of publication: Chichester, England; Hoboken, NJ
Language: eng
Number of pages: 573
ISBN-13: 9780470018750
Subjects: Bayesian statistical decision theory
Notes: Includes bibliographical references and index.
Table of contents: title: Introduction : the Bayesian method, its benefits and implementation; title: Bayesian model choice, comparison and checking; title: The major densities and their application; title: Normal linear regression, general linear models and log-linear models; title: Hierarchical priors for pooling strength and overdispersed regression modelling; title: Discrete mixture priors; title: Multinomial and ordinal regression models; title: Time series models; title: Modelling spatial dependencies; title: Nonlinear and nonparametric regression; title: Multilevel and panel data models; title: Latent variable and structural equation models for multivariate data; title: Survival and event history analysis; title: Missing data models; title: Measurement error, seemingly unrelated regressions, and simultaneous eqations.