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On the reduction to a complete class in multiple decision problems

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An Erratum to this article was published on 01 December 1976

Summary

This paper is concerned with the reduction to a complete class of decision rule in case where actions, observations and states are finite in number. Discussions are made, first, from the viewpoint of the distribution of random observation and, secondly, from the viewpoint of loss function. With respect to loss function, “regret-relief ratio” criterion and “incremental loss-gain ratio” criterion are introduced and these usefulness are shown in 2-state of nature case.

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References

  1. Karlin, S. and Rubin, H. (1956). The theory of decision procedures for distributions with monotone likelihood ratio,Ann. Math. Statist., 27, 272–299.

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  2. Chernoff, H. and Moses, L. E. (1959).Elementary Decision Theory, John Wiley & Sons, New York.

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  3. Ferguson, T.S. (1967).Mathematical Statistics: A Decision Theoretic Approach, Academic Press, New York.

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The Institute of Statistical Mathematics

An erratum to this article is available at http://dx.doi.org/10.1007/BF02504767.

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Murakami, M. On the reduction to a complete class in multiple decision problems. Ann Inst Stat Math 28, 145–165 (1976). https://doi.org/10.1007/BF02504737

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  • DOI: https://doi.org/10.1007/BF02504737

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