[2013 Springer] Applied Bayesian Statistics: With R and OpenBUGS Examples

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Applied Bayesian Statistics With R and OpenBUGS Examples
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附件是2013年版，Springer Texts in Statistics收录，贝叶斯统计的最新教材
Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)
Mary Kathryn Cowles (Author)
Publication Date: January 3, 2013
ISBN-10: 1461456959
ISBN-13: 978-1461456957
Edition: 2013
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 programs  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.  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.   Kate Cowles taught Suzuki piano for many years before going to graduate school in Biostatistics.  Her research areas are Bayesian and computational statistics, with application to environmental science.  She is on the faculty of Statistics at The University of Iowa.

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关键词：Statistics statistic Springer openbugs Bayesian different including presented material course

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