Basic Concepts

  • James O. Berger
Part of the Springer Series in Statistics book series (SSS)

Abstract

Decision theory, as the name implies, is concerned with the problem of making decisions. Statistical decision theory is concerned with the making of decisions in the presence of statistical knowledge which sheds light on some of the uncertainties involved in the decision problem. We will, for the most part, assume that these uncertainties can be considered to be unknown numerical quantities, and will represent them by θ (possibly a vector or matrix).

Keywords

Decision Rule Loss Function Likelihood Function Prior Information Risk Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1980

Authors and Affiliations

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

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