© 1985

Statistical Decision Theory and Bayesian Analysis


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

Table of contents

  1. Front Matter
    Pages i-xvi
  2. James O. Berger
    Pages 1-45
  3. James O. Berger
    Pages 46-73
  4. James O. Berger
    Pages 74-117
  5. James O. Berger
    Pages 118-307
  6. James O. Berger
    Pages 308-387
  7. James O. Berger
    Pages 388-431
  8. James O. Berger
    Pages 432-520
  9. James O. Berger
    Pages 521-558
  10. Back Matter
    Pages 559-618

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.


Analysis Bayessches Verfahren Entscheidung (Math.) Excel decision theory

Authors and affiliations

  1. 1.Institute of Statistics and Decision SciencesDuke UniversityDurhamUSA

Bibliographic information

  • Book Title Statistical Decision Theory and Bayesian Analysis
  • Authors James O. Berger
  • Series Title Springer Series in Statistics
  • DOI
  • Copyright Information Springer-Verlag New York 1985
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-387-96098-2
  • Softcover ISBN 978-1-4419-3074-3
  • eBook ISBN 978-1-4757-4286-2
  • Series ISSN 0172-7397
  • Edition Number 2
  • Number of Pages XVI, 618
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Additional Information Originally published with the title: Statistical Decision Theory
  • Topics Statistical Theory and Methods
  • Buy this book on publisher's site


"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.)