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Statistical Decision Theory

Foundations, Concepts, and Methods

  • James O. Berger

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

Table of contents

  1. Front Matter
    Pages i-xv
  2. James O. Berger
    Pages 1-39
  3. James O. Berger
    Pages 40-60
  4. James O. Berger
    Pages 61-88
  5. James O. Berger
    Pages 89-168
  6. James O. Berger
    Pages 169-236
  7. James O. Berger
    Pages 237-280
  8. James O. Berger
    Pages 281-363
  9. James O. Berger
    Pages 364-392
  10. Back Matter
    Pages 393-428

About this book

Introduction

Decision theory is generally taught in one of two very different ways. When of opti­ 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 prin­ 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.

Keywords

Analysis Bayessches Verfahren Entscheidung Entscheidung (Math.) decision theory

Authors and affiliations

  • James O. Berger
    • 1
  1. 1.Department of StatisticsPurdue UniversityWest LafayetteUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-1727-3
  • Copyright Information Springer-Verlag New York 1980
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-1729-7
  • Online ISBN 978-1-4757-1727-3
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site
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