Minimax Analysis

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

Abstract

This chapter is devoted to the implementation and evaluation of decision-theoretic analysis based on the minimax principle introduced in Section 1.5. We began Chapter 4 with a discussion of axioms of rational behavior, and observed that they lead to a justification of Bayesian analysis. It would be nice to be able to say something similar about minimax analysis, but the unfortunate fact is that minimax analysis is not consistent with such sets of axioms. We are left in the uncomfortable position of asking why this chapter is of any interest. (Indeed many Bayesians will deny that it is of any interest.) It thus behooves us to start with a discussion of when minimax analysis can be useful.

Keywords

Statistical Game Minimax Regret Minimax Principle Minimax Estimator Risk Point 
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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