- Hardcover: 352 pages
- Publisher: Hodder Arnold; 6th edition (2 Jun 1994)
- Language English
- ISBN-10: 0340529229
- ISBN-13: 978-0340529225
- Product Dimensions: 24.6 x 17.5 x 2.3 cm
- Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: 2,039,793 in Books (See Top 100 in Books)
- See Complete Table of Contents
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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 ) --This text refers to an out of print or unavailable edition of this title.
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 ) --This text refers to an out of print or unavailable edition of this title.
Product Description
This volume deals with the fundamental theory and principles of Bayesian inference, including estimation, hypothesis testing, and the linear model. The coverage provided overlaps with that of "Kendall's Advanced Theory of Statistics, Volumes 1 and 2" from a Bayesian viewpoint, and cross-referencing is provided where appropriate. Thinking common to both Classical and Bayesian theory is not repeated. A major source and reference, covering advanced level theory at a level which every professional statistician needs to know before specializing, the book also provides an introduction to other major fields which are covered in other books in this series. This book should be of interest to professional statisticians and statistical libraries.
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Customer Reviews
Most Helpful Customer Reviews
3 of 3 people found the following review helpful
Format:Hardcover
The book starts from the very basic Bayesian methodology. From that point, it expands the method to several different statistical applications. The major advantages are the fact that the book can be consulted in any research area. Secondly, much of the important properties and refinements in Bayesian methods are mentioned and explained in the book.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
2 reviews
2 of 2 people found the following review helpful
Littered with misprints
13 Aug 2011
Format:Hardcover|Amazon Verified Purchase
The book appears to have wonderful content and if the printing were up to snuff I would give it 4 or 5 stars. The copy I received (and returned) was printed only a few days before I purchased it. There are many words that have a letter replaced by a white space. At first I thought I could ignore them even though there were 5 to 10 per page. Then I found that every missing letter was interrupting my concentration on the material. I find Bayesian statistics difficult enough to understand without viewing the material through a botched print job.
3 of 8 people found the following review helpful
O'Hagan's Jewel
8 Jun 2002
Format:Hardcover
I found this book to be my constant reference.
Like Tonny's narative style and the part on NIG Priors!
Contains valuable contributions by the author
hard to find elsewhere.
Like Tonny's narative style and the part on NIG Priors!
Contains valuable contributions by the author
hard to find elsewhere.
Highly recommended!
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