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Introduction to Bayesian Statistics, 2nd Edition
William M. Bolstad,
Univ. of Waikato, Hamilton, New Zealand
ISBN: 978-0-470-14115-1
©2007
464 pages
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Description
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The use of Bayesian methods in applied statistical analysis has become increasingly popular, yet most introductory statistics texts continue to only present the subject using frequentist methods. Introduction to Bayesian Statistics, Second Edition focuses on Bayesian methods that can be used for inference, and it also addresses how these methods compare favorably with frequentist alternatives. Teaching statistics from the Bayesian perspective allows for direct probability statements about parameters, and this approach is now more relevant than ever due to computer programs that allow practitioners to work on problems that contain many parameters.
The Related Webiste http://www.stats.waikato.ac.nz/publications/bolstad/IntroductionToBayesianStatistics/students/ provides R functions and Minitab macros for Bayesian analysis and Monte Carlo simulations.
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