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The operating characteristic of double sampling plans by variables when the standard deviation is unknown

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Summary

We deal with double sampling plans by variables for a one-sided specification limit when the quality characteristic is normally distributed with unknown standard deviation. An algorithm is presented that allows to calculate the OC of the sampling plans proposed by Bowker and Goode (1952). We give several examples. Furthermore, it is shown that the algorithm carries over to calculating the OC of the double-stage t-test.

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References

  • Bowker, A. H., Goode, H. P. (1952). Sampling Inspection by Variables. McGraw-Hill, New York.

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  • Feldmann, B., Krumbholz, W. (2002). ASN-minimax double sampling plans for variables. Statistical Papers 43 361–377.

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  • Schiling, E. G. (1982). Acceptance Sampling in Quality Control. Marcel Dekker, New York.

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Authors and Affiliations

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

    Wolf Krumbholz

  2. Dartmouth College, 8000 Cummings Hall, 03755, Hanover, NH, USA

    Andreas Rohr

Authors
  1. Wolf Krumbholz
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  2. Andreas Rohr
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Additional information

The authors wish to thank Yvonne Köllner and Timor Saffary for technical support.

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Krumbholz, W., Rohr, A. The operating characteristic of double sampling plans by variables when the standard deviation is unknown. Allgemeines Statistisches Arch 90, 233–251 (2006). https://doi.org/10.1007/s10182-006-0232-2

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  • DOI: https://doi.org/10.1007/s10182-006-0232-2

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