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Statistical Decision Theory

Foundations, Concepts, and Methods

  • Book
  • © 1980


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

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Table of contents (8 chapters)


About this book

Decision theory is generally taught in one of two very different ways. When of optiĀ­ taught by theoretical statisticians, it tends to be presented as a set of mathematical techniques mality principles, together with a collection of various statistical procedures. When useful in establishing the optimality taught by applied decision theorists, it is usually a course in Bayesian analysis, showing how this one decision principle can be applied in various practical situations. The original goal I had in writing this book was to find some middle ground. I wanted a book which discussed the more theoretical ideas and techniques of decision theory, but in a manner that was constantly oriented towards solving statistical problems. In particular, it seemed crucial to include a discussion of when and why the various decision prinĀ­ ciples should be used, and indeed why decision theory is needed at all. This original goal seemed indicated by my philosophical position at the time, which can best be described as basically neutral. I felt that no one approach to decision theory (or statistics) was clearly superior to the others, and so planned a rather low key and impartial presentation of the competing ideas. In the course of writing the book, however, I turned into a rabid Bayesian. There was no single cause for this conversion; just a gradual realization that things seemed to ultimately make sense only when looked at from the Bayesian viewpoint.

Authors and Affiliations

  • Department of Statistics, Purdue University, West Lafayette, USA

    James O. Berger

Bibliographic Information

  • Book Title: Statistical Decision Theory

  • Book Subtitle: Foundations, Concepts, and Methods

  • Authors: James O. Berger

  • Series Title: Springer Series in Statistics

  • DOI:

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1980

  • eBook ISBN: 978-1-4757-1727-3Published: 17 April 2013

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 1

  • Number of Pages: XV, 428

  • Topics: Applications of Mathematics

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