Bayesian statistics: an introduction

Peter M. Lee

ISBN 10: 0340814055 / ISBN 13: 9780340814055

Published by Hodder Education Publishers, 2004

About this Item

Among Statisticians The Bayesian Approach Continues To Gain Adherents And This New Edition Of Peter Lee s Classic Introduction Maintains The Clarity Of Exposition And Use Of Examples For Which The 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, As This Is Now The Standard Computational Tool For Such Numerical Work. Other Alterations Include New Material On Generalized Linear Modeling And Bernardo s Theory Of Reference Points. 1. Preliminaries -- 2. Bayesian Inference For The Normal Distribution -- 3. Some Other Common Distributions -- 4. Hypothesis Testing -- 5. Two-sample Problems -- 6. Correlation, Regression And The Analysis Of Variance -- 7. Other Topics -- 8. Hierarchical Models -- 9. Gibbs Sampler And Other Numerical Methods. Peter M. Lee. Includes Bibliographical References (p. 337 -346) And Index.

Seller Inventory # 486324

Bibliographic Details

• Title: Bayesian statistics: an introduction
• Publisher: Hodder Education Publishers
• Publication Date: 2004
• Language: English
• ISBN 10: 0340814055
• ISBN 13: 9780340814055
• Binding: Soft cover
• Edition: 3rd Edition
• Condition: Aceptable

About this title

Synopsis

Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's classic introduction maintains the clarity of exposition and use of examples for which the 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, as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modeling and Bernardo's theory of reference points.

About the Author

Peter M. Lee is Provost of Wentworth College, University of York, UK.