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Modified Minimax Decision Procedures

  • Chapter
Multiple Statistical Decision Theory: Recent Developments

Part of the book series: Lecture Notes in Statistics ((LNS,volume 6))

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Abstract

In this chapter, we shall discuss the modified principles of minimax criteria (such as г-minimax and restricted minimax) for multiple decision problems.

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Authors and Affiliations

  1. Department of Statistics, Purdue University, 47907, West Lafayette, Indiana, USA

    Shanti S. Gupta

  2. Institute of Mathematics, Academia Sinica, Taipei, Taiwan, Republic of China

    Deng-Yuan Huang

Authors
  1. Shanti S. Gupta
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  2. Deng-Yuan Huang
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© 1981 Springer-Verlag New York Inc.

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Gupta, S.S., Huang, DY. (1981). Modified Minimax Decision Procedures. In: Multiple Statistical Decision Theory: Recent Developments. Lecture Notes in Statistics, vol 6. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5925-1_3

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  • DOI: https://doi.org/10.1007/978-1-4612-5925-1_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-90572-3

  • Online ISBN: 978-1-4612-5925-1

  • eBook Packages: Springer Book Archive

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