Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 5) - Hardcover

Leonard, Thomas; Hsu, John S. J.

Hardcover

ISBN 10: 0521594170 ISBN 13: 9780521594172

Publisher: Cambridge University Press, 1999

Synopsis

This exposition of the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students is unique in presenting its subject with a practical flavor and an emphasis on mainstream statistics. It shows how to infer scientific, medical, and social conclusions from numerical data. The authors draw on many years of experience with practical and research programs and describe many new statistical methods, not available elsewhere. It will be essential reading for all statisticians, statistics students, and related interdisciplinary researchers.

About this title

Book Description

This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. The first chapter presents a comparison with traditional Fisherian methods. Subsequent chapters relate Bayesian methods to many areas of statistics, for instance, the linear model, categorical data analysis, time series, and forecasting, mixture models, survival analysis, Bayesian smoothing, and non-linear random effects models. The text includes a large number of practical examples, worked examples, and exercises. It will be essential reading for all statisticians, statistics students, and related interdisciplinary researchers.

Review

"The book provides a solid, well-written introduction to the basic tenets of Bayesian modeling, and deserves serious consideration for adoption for a graduate-level introduction to Bayesian methods." Journal of the American Statistical Association

"This book provides excellent up-to-date coverage of modern Bayesian statistics...clearly written and at a reasonably high level." Mathematical Reviews

"Bayesian Methods is pregnant with detailed examples, pulled primarily from recent literature, especially from contributions by the authors. Rather than serving simply as illustrations of results in the text, these examples are an integral part of the authors' development. What is more, they are interesting. They endow the theory with life and draw the reader deeper into the text. I strongly recommend this book to anyone interested in Bayesian methods. I look forward to using it in the classroom." Technometrics

Edition details

• Publisher: Cambridge University Press
• Publication date: 1999
• ISBN 10: 0521594170
• ISBN 13: 9780521594172
• Binding: Hardcover
• Language: English
• Number of pages: 348