Understanding Computational Bayesian StatisticsISBN: 978-0-470-04609-8
Hardcover
336 pages
December 2009
This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
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- The coverage of topics is similar in range to a traditional statistics coursebook.
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Exercises are provided throughout the book, along with selected answers.
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Each summer concludes with a summary of main points, helping readers understand the key principles related to each discussion.
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Bayesian statistics is now more appropriate than ever because computer programs enable the practitioner to work on problems that contain many parameters
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The author supplies a calculus refresher anda summary on the use of statistical tables to provide the necessary background information.
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A related Web site provides R functions and Minitab macros for Bayesian analysis and Monte Carlo simulations.