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Field name	Details
Dewey Class	519.5
Title	Applied Bayesian Statistics ([Ebook]) : With R and OpenBUGS Examples / by Mary Kathryn Cowles.
Author	Cowles, Mary Kathryn
Other name(s)	SpringerLink (Online service)
Publication	New York, NY : Springer
Publication	, 2013.
Physical Details	XIV, 232 pages: 68 illus., 27 illus. in color. : online resource.
Series	Springer Texts in Statistics 1431-875X ; ; 98
ISBN	9781461456964
Summary Note	This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programsÂ in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results.Â In addition, readers will learn to use the predominant software for Bayesian model-fitting, R and OpenBUGS. The practical approach this book takes will help students of all levels to build understanding of the concepts and procedures required to answer real questions by performing Bayesian analysis of real data. Topics covered include comparing and contrasting Bayesian and classical methods, specifying hierarchical models, and assessing Markov chain Monte Carlo output. Mary KathrynÂ (Kate) Cowles taught Suzuki piano for many years before going to graduate school in Biostatistics.Â Her research areas are Bayesian and computational statistics, with application to environmental science.Â She is on the faculty of Statistics at The University of Iowa.:
Contents note	What is Bayesian statistics? -- Review of probability -- Introduction to one-parameter models -- Inference for a population proportion -- Special considerations in Bayesian inference -- Other one-parameter models and their conjugate priors -- More realism please: Introduction to multiparameter models -- Fitting more complex Bayesian models: Markov chain Monte Carlo -- Hierarchical models, and more on convergence assessment -- Regression and hierarchical regression models -- Model Comparison, Model Checking, and Hypothesis Testing -- References -- Index.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	http://dx.doi.org/10.1007/978-1-4614-5696-4
Links to Related Works	Subject References: Bayesian computation . Mathematical Statistics . Statistical Theory and Methods . Statistics . Authors: Cowles, Mary Kathryn . Corporate Authors: SpringerLink (Online service) . Series: Springer Texts in Statistics . Classification: 519.5 . 519.5 (DDC 23) .

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Applied Bayesian Statistics: With R and OpenBUGS Examples

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