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Double ASN Minimax sampling plans by variables when the standard deviation is unknown

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Abstract

We deal with the double sampling plans by variables proposed by Bowker and Goode (Sampling Inspection by Variables, McGraw–Hill, New York, 1952) when the standard deviation is unknown. Using the procedure for the calculation of the OC given by Krumbholz and Rohr (Allg. Stat. Arch. 90:233–251, 2006), we present an optimization algorithm allowing to determine the ASN Minimax plan. This plan, among all double plans satisfying the classical two-point-condition on the OC, has the minimal ASN maximum.

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Authors and Affiliations

  1. Helmut-Schmidt-Universität, Universität der Bundeswehr, Postfach 700 822, 22008, Hamburg, Germany

    Wolf Krumbholz & Andreas Rohr

Authors
  1. Wolf Krumbholz
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  2. Andreas Rohr
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Corresponding author

Correspondence to Wolf Krumbholz.

Additional information

The authors wish to thank Yvonne Köllner and Eno Vangjeli for technical support.

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Krumbholz, W., Rohr, A. Double ASN Minimax sampling plans by variables when the standard deviation is unknown. AStA Adv Stat Anal 93, 281–294 (2009). https://doi.org/10.1007/s10182-009-0111-8

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  • DOI: https://doi.org/10.1007/s10182-009-0111-8

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