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Computation of Optimal Dodge Sampling Plans in Restricted Classes according to the Minimax Regret Criterion

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Mathematical Modelling in Economics

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Abstract

The paper handles classes of continuous Dodge sampling plans, alternatively with a bounded relaxation number or a non trivial bound for the sampling fraction. An algorithm is given for the computation of optimal plans in these classes with regard to the minimax regret criterion.

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References

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Author information

Authors and Affiliations

  1. Fachgebiet Betriebswirtschaftslehre, Universität Siegen, Germany

    Bernd H. Goldstein

Authors
  1. Bernd H. Goldstein
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Editor information

Editors and Affiliations

  1. Department of Economics, University of British Columbia, #997-1873 East Mall, V6T 1W5, Vancouver, B.C., Canada

    W. Erwin Diewert

  2. University of Hong Kong, K.K. Leung Building, Hong Kong

    Klaus Spremann

  3. Department of Economics, University of Ulm, Helmholtzstraße 18, D-89069, Ulm/Donau, Germany

    Frank Stehling

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© 1993 Springer-Verlag Berlin · Heidelberg

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Goldstein, B.H. (1993). Computation of Optimal Dodge Sampling Plans in Restricted Classes according to the Minimax Regret Criterion. In: Diewert, W.E., Spremann, K., Stehling, F. (eds) Mathematical Modelling in Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78508-5_39

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  • DOI: https://doi.org/10.1007/978-3-642-78508-5_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-78510-8

  • Online ISBN: 978-3-642-78508-5

  • eBook Packages: Springer Book Archive

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