<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
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