Subjective and Objective Bayesian Statistics: Principles, Models, and Applications

Author:   S. James Press (University of California, Riverside)
Publisher:   John Wiley & Sons Inc
Edition:   2nd edition
Volume:   590
ISBN:  

9780471348436


Pages:   608
Publication Date:   17 December 2002
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Subjective and Objective Bayesian Statistics: Principles, Models, and Applications


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Overview

Shorter, more concise chapters provide flexible coverage of the subject. Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging. Includes topics not covered in other books, such as the de Finetti Transform. Author S. James Press is the modern guru of Bayesian statistics.

Full Product Details

Author:   S. James Press (University of California, Riverside)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Interscience
Edition:   2nd edition
Volume:   590
Dimensions:   Width: 15.90cm , Height: 3.60cm , Length: 24.30cm
Weight:   0.934kg
ISBN:  

9780471348436


ISBN 10:   0471348430
Pages:   608
Publication Date:   17 December 2002
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Reviews

?written in a clear, accessible manner?an enjoyable read and a comprehensive introduction to Bayesian theory and methods. (Journal of the American Statistical Association, March 2005) The book is well written. It should continue the success of the first edition and become the main reference book in the field.? (Interfaces, March-April 2004) ?among several books I have reviewed, this is one of the best. I very strongly recommend this book to statisticians and applied researchers. (Journal of Statistical Computation & Simulation, March 2004) ...a welcome addition to the library of any practicing statistician, not only as a thorough and readable text on Bayesian statistics, but also as a rich source of reference material for understanding the historical development of the subject. (Technometrics, Vol. 45, No. 4, November 2003) ?...a second edition...but really a new book, not merely the first edition with a few changes inserted...a completely restructured book with major new chapters and material...? (Quarterly of Applied Mathematics, Vol. LXI, No. 2, June 2003) ...this second edition is a completely restructured book with major new chapters and material... (Zentralblatt Math, 2003)


...written in a clear, accessible manner...an enjoyable read and a comprehensive introduction to Bayesian theory and methods. (Journal of the American Statistical Association, March 2005) The book is well written. It should continue the success of the first edition and become the main reference book in the field. (Interfaces, March-April 2004) ...among several books I have reviewed, this is one of the best. I very strongly recommend this book to statisticians and applied researchers. (Journal of Statistical Computation & Simulation, March 2004) ...a second edition...but really a new book, not merely the first edition with a few changes inserted...a completely restructured book with major new chapters and material... (Quarterly of Applied Mathematics, Vol. LXI, No. 2, June 2003) ...this second edition is a completely restructured book with major new chapters and material... (Zentralblatt Math, 2003)


...written in a clear, accessible manner...an enjoyable read and a comprehensive introduction to Bayesian theory and methods. (Journal of the American Statistical Association, March 2005) The book is well written. It should continue the success of the first edition and become the main reference book in the field. (Interfaces, March-April 2004) ...among several books I have reviewed, this is one of the best. I very strongly recommend this book to statisticians and applied researchers. (Journal of Statistical Computation & Simulation, March 2004) ...a second edition...but really a new book, not merely the first edition with a few changes inserted...a completely restructured book with major new chapters and material... (Quarterly of Applied Mathematics, Vol. LXI, No. 2, June 2003) ...this second edition is a completely restructured book with major new chapters and material... (Zentralblatt Math, 2003)


?written in a clear, accessible manner?an enjoyable read and a comprehensive introduction to Bayesian theory and methods. (Journal of the American Statistical Association, March 2005) The book is well written. It should continue the success of the first edition and become the main reference book in the field.? (Interfaces, March-April 2004) ?among several books I have reviewed, this is one of the best. I very strongly recommend this book to statisticians and applied researchers. (Journal of Statistical Computation & Simulation, March 2004) ...a welcome addition to the library of any practicing statistician, not only as a thorough and readable text on Bayesian statistics, but also as a rich source of reference material for understanding the historical development of the subject. (Technometrics, Vol. 45, No. 4, November 2003) ?...a second edition...but really a new book, not merely the first edition with a few changes inserted...a completely restructured book with major new chapters and material...? (Quarterly of Applied Mathematics, Vol. LXI, No. 2, June 2003) ...this second edition is a completely restructured book with major new chapters and material... (Zentralblatt Math, 2003)


Author Information

S. JAMES PRESS, PhD, is a Distinguished Professor in the Department of Statistics at the University of California, Riverside. He is the author (with Judith M. Tanur) of The Subjectivity of Scientists and the Bayesian Approach, also published by John Wiley & Sons, Inc., 2001.

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