01728nam a2200277 a 450000100060000000300080000600500170001400800410003102000360007202000390010803500190014704000270016604100080019308200260020110000240022724500530025125000120030426000690031630000330038550400510041850507450046965000500121494200120126499900170127695201570129365986BD-RjUL20211209081504.0170313s2006    enka     b    001 0 eng    a0470018755 (cloth : alk. paper)  a9780470018750 (cloth : alk. paper)  a(BD-RjUL)66116  aDLCcDLCdBD-RjULbeng  aeng00a519.542223bCOB 20061 aCongdon, P.919517810aBayesian statistical modelling /cPeter Congdon.  a2nd ed.  aChichester, England ;aHoboken, NJ :bJohn Wiley & Sons,cc2006.  axi, 573 p. :bill. ;c25 cm.  aIncludes bibliographical references and index.0 aIntroduction : 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. 0aBayesian statistical decision theory.9173210  2ddccBK  c65986d65986  00102ddc40718NFICaRUCLbRUCLcReadingd2008-07-24eParagogn Enterprise, Dhakag52.25l0o519.542 COB 2006r2017-03-13 00:00:00tC-1w2017-03-13yBK