Items related to Bayesian Statistics: An Introduction
Synopsis
This volume provides full coverage of Bayesian statistics--perhaps the only fully self-consistent approach in statistics. The book furnishes an understandable treatment of the basic concepts and gives the reader useful information on where and why this somewhat controversial approach differs from "classical" statistics. The appendices include useful tables that are not readily available in other references. The book is based on a a highly successful lecture series for advanced undergraduates and fills a need for a text that is never too elemental nor too technical.
"synopsis" may belong to another edition of this title.
Review
We greatly welcome the second edition. (Statistica Applicata)
We greatly welcome the second edition (Statistica Applicata)
From the Back Cover
Bayesian Statistics is the school of thought that uses all information surrounding the likelihood of an event rather than just that collected experimentally. Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee’s well–established introduction maintains the clarity of exposition and use of examples for which this text is known and praised. In addition, there is extended coverage of the Metropolis–Hastings algorithm as well as an introduction to the use of BUGS (Bayesian Inference Using Gibbs Sampling) as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modelling and Bernardo’s theory of reference points.
"About this title" may belong to another edition of this title.
- PublisherOxford Univ Pr
- Publication date1989
- ISBN 10 0195208021
- ISBN 13 9780195208023
- BindingHardcover
- LanguageEnglish
(No Available Copies)
Search Books: Create a WantCan't find the book you're looking for? We'll keep searching for you. If one of our booksellers adds it to AbeBooks, we'll let you know!
Create a Want
