Kendalls Advanced Theory of Statistic 2B: Bayesian Inference: v. 2B (Kendall's Advanced Theory of Statistics: Bayesian Inference) - Hardcover

Gold, Harvey J.

Hardcover

ISBN 10: 0340807520 ISBN 13: 9780340807521

Publisher: Wiley–Blackwell, 2004

Synopsis

Kendall's objective in setting out to write the original Kendall's Advanced Theory of Statistics, published in two volumes in 1943 and 1946, was 'to develop a systematic treatment of [statistical theory] as it exists at the present time.' With this aim in mind, the first edition of Bayesian Inference was added as Volume 2B of the Kendall's Advanced Theory of Statistics in 1994, to introduce the new and rapidly growing field of Bayesian statistics. This new edition is a response to the developments and advances that have taken place in this area over the last few years and offers the reader an up-to-date and comprehensive overview of Bayesian statistics.
The second edition of Bayesian Inference has been expanded to include new chapters on Markov Chain Monte Carlo methods, discrete data models and non-parametric models. Existing chapters have also been thoroughly revised and updated and there is greater coverage of computational methods and of model comparison and criticism. There is also a new chapter of case studies, providing practical illustrations of the theory presented throughout the book. Like the other volumes in the Kendall's Library of Statistics, the first edition of Bayesian Inference provided a good selection of exercises at the end of each chapter. This popular feature is retained in the new edition, with many new exercises to deepen the reader's understanding.
Clearly written and offering a wide-ranging introduction to Bayesian statistics, this book will be an essential reference source for students, researchers and practitioners in statistics.

About this title

Review:

'A clearly written and comprehensive account...an excellent book in an excellent series.' (Mathematics Today)

This very well-written book has been designed to complement the Kendall's series by presenting therein the Bayesian point of view. ... The author has skilfully managed to cover a great deal of ground in this volume and readers will find few topics of interest to be missing. (Short Book Reviews)

A really important addition to the statistical literature, providing a careful, gentle approach to modern ideas that should find favour as a university text and as a reference book for all of us.

- VOLUME 168 (1) jANUARY 2005 (Journal of the Roayal Statistical Society, Series)

From the Back Cover:

It is now generally recognised in many areas of the social, medical and other sciences that statistical data typically have complex hierarchical or multilevel structures in which individuals are grouped together in communities or institutions. This grouping affects their behaviour and multilevel modelling is now the accepted statistical technique for the analysis of this type of data. An understanding of these methods is vital for researchers in fields such as education, epidemiology, geography, child growth and social surveys, among others. This new edition brings the book fully up to date, explaining important new developments such as the use of Markov Chain Monte Carlo methods, bootstrapping and mulitvariate models. The book has been completely restructured for this third edition and extra space has been given to discussion of key issues such as missing data, measurement errors and multivariate models. Real–life examples are used throughout to illustrate clearly the theoretical concepts.

About this edition

• Publisher: Wiley–Blackwell
• Publication date: 2004
• ISBN 10: 0340807520
• ISBN 13: 9780340807521
• Binding: Hardcover
• Edition number: 2
• Number of pages: 480