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- catalog abstract ""As a result of recent advances in computing and the consequent ability to evaluate complex models, Bayes and empirical Bayes (EB) methods have increased in popularity for data analysis. Bayes and Empirical Bayes Methods for Data Analysis introduces these methods, demonstrates their usefulness in challenging applied settings and shows how they can be implemented using modern Markov chain Monte Carlo (MCMC) computational methods. The book avoids philosophical nit-picking, and instead shows how properly structured Bayes and EB procedures typically have good frequentist and Bayesian performance both in theory and practice." "The book provides a guide to the commercial and noncommercial software available for performing Bayes and EB analyses, including the electronic availability of each via e-mail and the World Wide Web. Practicing statisticians and biostatisticians analyzing complex data sets from industry, agriculture, biomedical science and public health will value this book. It will also be of great interest to statistical consultants and researchers, as well as Master's and Ph.D. students in the above areas."--BOOK JACKET.".
- catalog contributor b10138678.
- catalog contributor b10138679.
- catalog created "c1996.".
- catalog date "1996".
- catalog date "c1996.".
- catalog dateCopyrighted "c1996.".
- catalog description ""As a result of recent advances in computing and the consequent ability to evaluate complex models, Bayes and empirical Bayes (EB) methods have increased in popularity for data analysis. Bayes and Empirical Bayes Methods for Data Analysis introduces these methods, demonstrates their usefulness in challenging applied settings and shows how they can be implemented using modern Markov chain Monte Carlo (MCMC) computational methods. The book avoids philosophical nit-picking, and instead shows how properly structured Bayes and EB procedures typically have good frequentist and Bayesian performance both in theory and practice." "The book provides a guide to the commercial and noncommercial software available for performing Bayes and EB analyses, including the electronic availability of each via e-mail and the World Wide Web. Practicing statisticians and biostatisticians analyzing complex data sets from industry, agriculture, biomedical science and public health will value this book. It will also be of great interest to statistical consultants and researchers, as well as Master's and Ph.D. students in the above areas."--BOOK JACKET.".
- catalog description "Approaches for statistical inference -- Motivating vignettes -- Personal probability -- Missing data -- Bioassay -- Attenuation adjustment -- Defining the approaches -- The Bayes-frequentist controversy -- Some basic Bayesian models -- A Gaussian/Gaussian (normal/normal) model -- A beta/binomial model -- The Bayes approach -- Prior distributions -- Elicited priors -- Conjugate priors -- Noninformative priors -- Other prior construction methods -- Bayesian inference -- Point estimation -- Interval estimation -- Hypothesis testing and Bayes factors -- Example: Consumer preference data -- Model assessment -- Diagnostic measures -- Model averaging -- Nonparametric methods -- The empirical Bayes approach -- Nonparametric EB (NPEB) point estimation -- Compound sampling models -- Simple NPEB (Robbins' method) -- Example: Accident data -- Parametric EB (PEB) point estimation -- Gaussian/Gaussian models -- Beta/binomial model -- EB performance of the PEB -- Stein estimation -- Computation via the EM algorithm -- EM for PEB -- Computing the observed information -- EM for NPEB -- Speeding convergence and generalizations -- Interval estimation -- Morris' approach -- Marginal posterior approach -- Bias correction approach -- Generalization to regression structures -- Performance of Bayes procedures -- Bayesian processing -- Univariate stretching with a two-point prior -- Multivariate Gaussian model -- Frequentist performance: Point estimates -- Gaussian/Gaussian model -- Beta/binomial model -- Generalization.".
- catalog description "Includes bibliographical references (p.[363]-386) and indexes.".
- catalog extent "xvi, 399 p. :".
- catalog identifier "0412056119".
- catalog isPartOf "Monographs on statistics and applied probability ; 69".
- catalog issued "1996".
- catalog issued "c1996.".
- catalog language "eng".
- catalog publisher "London ; New York : Chapman & Hall,".
- catalog subject "Analysis of variance.".
- catalog subject "Bayesian statistical decision theory.".
- catalog subject "Electronic Data processing.".
- catalog subject "Information storage and retrieval systems.".
- catalog subject "Punched card systems.".
- catalog subject "QA279.5 .C36 1998".
- catalog tableOfContents "Approaches for statistical inference -- Motivating vignettes -- Personal probability -- Missing data -- Bioassay -- Attenuation adjustment -- Defining the approaches -- The Bayes-frequentist controversy -- Some basic Bayesian models -- A Gaussian/Gaussian (normal/normal) model -- A beta/binomial model -- The Bayes approach -- Prior distributions -- Elicited priors -- Conjugate priors -- Noninformative priors -- Other prior construction methods -- Bayesian inference -- Point estimation -- Interval estimation -- Hypothesis testing and Bayes factors -- Example: Consumer preference data -- Model assessment -- Diagnostic measures -- Model averaging -- Nonparametric methods -- The empirical Bayes approach -- Nonparametric EB (NPEB) point estimation -- Compound sampling models -- Simple NPEB (Robbins' method) -- Example: Accident data -- Parametric EB (PEB) point estimation -- Gaussian/Gaussian models -- Beta/binomial model -- EB performance of the PEB -- Stein estimation -- Computation via the EM algorithm -- EM for PEB -- Computing the observed information -- EM for NPEB -- Speeding convergence and generalizations -- Interval estimation -- Morris' approach -- Marginal posterior approach -- Bias correction approach -- Generalization to regression structures -- Performance of Bayes procedures -- Bayesian processing -- Univariate stretching with a two-point prior -- Multivariate Gaussian model -- Frequentist performance: Point estimates -- Gaussian/Gaussian model -- Beta/binomial model -- Generalization.".
- catalog title "Bayes and empirical Bayes methods for data analysis / Bradley P. Carlin and Thomas A. Louis.".
- catalog type "text".