01559nam a2200265 a 4500 65986 BD-RjUL 20211209081504.0 170313s2006 enka b 001 0 eng 0470018755 (cloth : alk. paper) 9780470018750 (cloth : alk. paper) (BD-RjUL)66116 DLC DLC BD-RjUL eng eng 519.542 23 COB 2006 Congdon, P. 195178 Bayesian statistical modelling / Peter Congdon. 2nd ed. Chichester, England ; Hoboken, NJ : John Wiley & Sons, c2006. xi, 573 p. : ill. ; 25 cm. 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. Bayesian statistical decision theory. 173210 ddc BK 65986 65986 0 0 ddc 0 1 NFIC RUCL RUCL Reading 2008-07-24 Paragogn Enterprise, Dhaka 52.25 0 519.542 COB 2006 2017-03-13 00:00:00 C-1 2017-03-13 BK