Bayesian statistical modelling / Peter Congdon.
Series: Wiley series in probability and statisticsPublication details: Chichester : John Wiley & Sons, 2006.Edition: 2nd edDescription: xi, 573 p. : ill. ; 25 cmISBN:- 9780470018750
Current library | Call number | Status | Date due | Barcode |
---|---|---|---|---|
Manila Tytana Colleges Library CIRCULATION SECTION | CIR QA 279.5 C66 2006 (Browse shelf(Opens below)) | Available | 027109 |
Includes bibliographical references and index.
Introduction : the Bayesian method, its benefits and implementation -- Bayesian model choice, comparison and checking -- The major densities and their application -- Normal linear regression, general linear models and log-linear models -- Hierarchical priors for pooling strength and overdispersed regression modelling -- Discrete mixture priors -- Multinomial and ordinal regression models -- Time series models -- Modelling spatial dependencies -- Nonlinear and nonparametric regression -- Multilevel and panel data models -- Latent variable and structural equation models for multivariate data -- Survival and event history analysis -- Missing data models -- Measurement error, seemingly unrelated regressions, and simultaneous eqations.
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