Bayesian Methods for Data Analysis av Bradley P. (University of Minnesota Minneapolis Minnesota USA) Carlin, Thomas A. (Johns Hopkins Bloomberg School

1019,-

Kjøp

<P>Broadening its scope to nonstatisticians, <STRONG>Bayesian Methods for Data Analysis, Third Edition</STRONG> provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques. <P><STRONG>New to the Third Edition</STRONG><LI>New data examples, corresponding R and WinBUGS code, and homework problems </LI></LI><LI>Explicit descriptions and illustrations of hierarchical modeling¿now commonplace in Bayesian data analysis</LI></LI><LI>A new chapter on Bayesian design that emphasizes Bayesian clinical trials</LI></LI><LI>A completely revised and expanded section on ranking and histogram estimation</LI></LI><LI>A new case study on infectious disease modeling and the 1918 flu epidemic</LI><LI>A solutions manual for qualifying instructors that contains s