Introduction to Bayesian Statistics (Hardcover) ~ William M. Bol... Cover Art

Introduction to Bayesian Statistics (Hardcover)

By: William M. Bolstad (Author)

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Review

"…this book fills a gap for teaching elementary Bayesian statistics…it could easily serve as a self-learning text…" (Technometrics, May 2005)


[In a review comparing Bolstad with another book,] "I will keep both of these books on my shelf, but I expect that Bolstad will be the one most borrowed by my colleagues."(significance, December 2004)


"...does an excellent job of presenting Bayesian Statistics as a perfectly reasonable approach to elementary problems of statistics…I must heartily recommend this book…" (STATS: The Magazine for Students of Statistics, Fall 2004)

Publisher's note

There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. In Bayesian statistics the rules of probability are used to make inferences about the parameter. Prior information about the parameter and sample information from the data are combined using Bayes theorem. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. This book uniquely covers the topics usually found in a typical introductory statistics book but from a Bayesian perspective.

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