TY  - BOOK
AU  - Gelman,Andrew
TI  - Bayesian data analysis
T2  - Texts in statistical science
SN  - 9781584883883 (hbk.) :
AV  - QA279.5 
U1  - 519.542 GEL 
PY  - 2003///
CY  - Boca Raton, Fla., London
PB  - Chapman & Hall/CRC
KW  - Bayesian statistical decision theory
KW  - Mathematics
KW  - ukslc
KW  - Probability & statistics
KW  - thema
KW  - Maths for scientists
KW  - Maths for engineers
N1  - Previous ed.: London: Chapman & Hall, 1995; Includes bibliographical references (p. 611-646) and indexes; Part I: Fundamentals of Bayesian inference -- 1.Background -- 2.Single-parameter models-- 3.Introduction to multiparameter models -- 4.Large-sample inference and frequency properties of Bayesian inferences -- Part II.Fundamentals of Bayesian data analysis -- 5.Herarchical models -- 6.Model checking and improvement -- 7.Modeling accounting for data collection -- 8.Connects and challenges -- 9.General advice -- Part III.Advanced computation -- 10.Overview of computation -- 11.Posterior simulation  -- 12.Approximations based on posterior models -- 13.Special topics in computation -- Part IV: Regresson models -- 14.Introduction to regression modles -- 15.Hierarchical linear modles -- 16.Generalized linear models -- 17.Models for robust inference -- Part V.Specific models and problems -- 18.Mixture models -- 19.Multivariate models -- 20.Nonliner models -- 21.Models for missing data -- 22.Decision analysis
N2  - Emphasising practice over theory this second edition incorporates new material on how Bayesian methods are connected to other approaches. It features a stronger focus upon MCMC, more examples and an added chapter on further computation topics
ER  -