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Subjective and Objective Bayesian Statistics : Principles, Models, and Applications - S. James Press

Subjective and Objective Bayesian Statistics

Principles, Models, and Applications

By: S. James Press

Hardcover | 25 November 2002 | Edition Number 2

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Ein Wiley-Klassiker uber Bayes-Statistik, jetzt in durchgesehener und erweiterter Neuauflage!
- Werk spiegelt die sturmische Entwicklung dieses Gebietes innerhalb der letzten Jahre wider
- vollstandige Darstellung der theoretischen Grundlagen
- jetzt erganzt durch unzahlige Anwendungsbeispiele
- die wichtigsten modernen Methoden (u. a. hierarchische Modellierung, linear-dynamische Modellierung, Metaanalyse, MCMC-Simulationen)
- einzigartige Diskussion der Finetti-Transformierten und anderer Themen, uber die man ansonsten nur sparliche Informationen findet
- Losungen zu den Übungsaufgaben sind enthalten
Industry 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)

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