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- 2006023990 contributor B10434235.
- 2006023990 created "c2006.".
- 2006023990 date "2006".
- 2006023990 date "c2006.".
- 2006023990 dateCopyrighted "c2006.".
- 2006023990 description "Includes bibliographical references and index.".
- 2006023990 description "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.".
- 2006023990 extent "xi, 573 p. :".
- 2006023990 identifier "0470018755 (cloth : alk. paper)".
- 2006023990 identifier "9780470018750 (cloth : alk. paper)".
- 2006023990 identifier 2006023990-b.html.
- 2006023990 identifier 2006023990-d.html.
- 2006023990 identifier 2006023990.html.
- 2006023990 isPartOf "Wiley series in probability and statistics".
- 2006023990 issued "2006".
- 2006023990 issued "c2006.".
- 2006023990 language "eng".
- 2006023990 publisher "Chichester, England ; Hoboken, NJ : John Wiley & Sons,".
- 2006023990 subject "519.5/42 22".
- 2006023990 subject "Bayesian statistical decision theory.".
- 2006023990 subject "QA279.5 .C65 2006".
- 2006023990 tableOfContents "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.".
- 2006023990 title "Bayesian statistical modelling / Peter Congdon.".
- 2006023990 type "text".