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• catalog abstract "The second edition of Bayesian Data Analysis continues to emphasize practice over theory, clearly describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide detailed guidance on all aspects of Bayesian data analysis and include many examples of real statistical analyses, based on their own research.".
• catalog contributor b13017542.
• catalog created "c2004.".
• catalog date "2004".
• catalog date "c2004.".
• catalog dateCopyrighted "c2004.".
• catalog description "Includes bibliographical references (p. 611-646) and indexes.".
• catalog description "Part I: Fundamentals of Bayesian inference -- Background -- Single-parameter models -- Introduction to multiparameter models -- Large-sample inference and frequency properties of Bayesian inference -- Part II: Fundamentals of Bayesian data analysis -- Hierarchical models -- Model checking and improvement -- Modeling accounting for data collection -- Connections and challenges -- General advice -- Part III: Advanced computation -- Overview of computation -- Posterior simulation -- Approximations based on posterior modes -- Special topics in computation -- Part IV: Regression models -- Introduction to regression models -- Hierarchical linear models -- Generalized linear models -- Models for robust inference -- Part V: Specific models and problems -- Mixture models -- Multivariate models -- Nonlinear models -- Models for missing data -- Decision analysis -- Appendixes. Standard probability distributions -- Outline of proofs of asymptotic theorems -- Example of computation in R and Bugs.".
• catalog description "The second edition of Bayesian Data Analysis continues to emphasize practice over theory, clearly describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide detailed guidance on all aspects of Bayesian data analysis and include many examples of real statistical analyses, based on their own research.".
• catalog extent "xxv, 668 p. :".
• catalog identifier "0203491289 (electronic bk.)".
• catalog identifier "158488388X (alk. paper)".
• catalog identifier "9780203491287 (electronic bk.)".
• catalog identifier "9781584883883 (alk. paper)".
• catalog isPartOf "Texts in statistical science".
• catalog isPartOf "Texts in statistical science.".
• catalog issued "2004".
• catalog issued "c2004.".
• catalog language "eng".
• catalog publisher "Boca Raton, Fla. : Chapman & Hall/CRC,".
• catalog subject "519.5/42 22".
• catalog subject "Análise de dados. larpcal".
• catalog subject "Análise de dados.".
• catalog subject "Bayes-Entscheidungstheorie. swd".
• catalog subject "Bayes-Verfahren. gnd".
• catalog subject "Bayesian statistical decision theory.".
• catalog subject "Besliskunde. gtt".
• catalog subject "Besliskunde.".
• catalog subject "Data-analyse. gtt".
• catalog subject "Data-analyse.".
• catalog subject "Datenanalyse. swd".
• catalog subject "Inferência bayesiana (inferência estatística) larpcal".
• catalog subject "Inferência bayesiana (inferência estatística)".
• catalog subject "Inferência paramétrica. larpcal".
• catalog subject "Inferência paramétrica.".
• catalog subject "Methode van Bayes. gtt".
• catalog subject "Methode van Bayes.".
• catalog subject "QA279.5 .B386 2004".
• catalog subject "Statistique bayésienne.".
• catalog subject "Teoria da decisão (inferência estatística) larpcal".
• catalog subject "Teoria da decisão (inferência estatística)".
• catalog tableOfContents "Part I: Fundamentals of Bayesian inference -- Background -- Single-parameter models -- Introduction to multiparameter models -- Large-sample inference and frequency properties of Bayesian inference -- Part II: Fundamentals of Bayesian data analysis -- Hierarchical models -- Model checking and improvement -- Modeling accounting for data collection -- Connections and challenges -- General advice -- Part III: Advanced computation -- Overview of computation -- Posterior simulation -- Approximations based on posterior modes -- Special topics in computation -- Part IV: Regression models -- Introduction to regression models -- Hierarchical linear models -- Generalized linear models -- Models for robust inference -- Part V: Specific models and problems -- Mixture models -- Multivariate models -- Nonlinear models -- Models for missing data -- Decision analysis -- Appendixes. Standard probability distributions -- Outline of proofs of asymptotic theorems -- Example of computation in R and Bugs.".
• catalog title "Bayesian data analysis / Andrew Gelman ... [et al.].".
• catalog type "text".