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

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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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© 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