Understanding Computational Bayesian Statistics

ISBN: 978-0-470-04609-8

Hardcover

336 pages

December 2009

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The coverage of topics is similar in range to a traditional statistics coursebook.
Exercises are provided throughout the book, along with selected answers.
Each summer concludes with a summary of main points, helping readers understand the key principles related to each discussion.
Bayesian statistics is now more appropriate than ever because computer programs enable the practitioner to work on problems that contain many parameters
The author supplies a calculus refresher anda summary on the use of statistical tables to provide the necessary background information.
A related Web site provides R functions and Minitab macros for Bayesian analysis and Monte Carlo simulations.

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