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Statistical Decision Theory and Bayesian Analysis

  • Textbook
  • © 1985

Overview

Part of the book series: Springer Series in Statistics (SSS)

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Table of contents (8 chapters)

Keywords

About this book

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.

Reviews

"The outstanding strengths of the book are its topic coverage, references, exposition, examples and problem sets... This book is an excellent addition to any mathematical statistician's library."
(Bulletin of the Am. Mathematical Soc.)

Authors and Affiliations

  • Institute of Statistics and Decision Sciences, Duke University, Durham, USA

    James O. Berger

Bibliographic Information

  • Book Title: Statistical Decision Theory and Bayesian Analysis

  • Authors: James O. Berger

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/978-1-4757-4286-2

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1985

  • Hardcover ISBN: 978-0-387-96098-2Published: 21 August 1985

  • Softcover ISBN: 978-1-4419-3074-3Published: 01 December 2010

  • eBook ISBN: 978-1-4757-4286-2Published: 14 March 2013

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 2

  • Number of Pages: XVI, 618

  • Additional Information: Originally published with the title: Statistical Decision Theory

  • Topics: Statistical Theory and Methods

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