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Prediction Intervals, Tolerance Intervals and Standards in Quality Control - Part 1

Author

Listed:
  • von Collani Elart

    (University of Würzburg, Sanderring 2, D-97070 Würzburg. collani@mathematik.uni-wuerzburg.de)

  • Baur Karl

    (E.ON Kernkraft GmbH, Treskowstr. 5, D-30457 Hannover. karl.baur@eon-energie.com)

Abstract

Industrial quality control is necessary at least for two reasons:Monitoring product or process quality in order to perform interventions for assuring a desired quality level.Monitoring product or process quality in order to meet certain requirements (imposed by law or customers) for documentation.

Suggested Citation

  • von Collani Elart & Baur Karl, 2002. "Prediction Intervals, Tolerance Intervals and Standards in Quality Control - Part 1," Stochastics and Quality Control, De Gruyter, vol. 17(1), pages 81-98, January.
    • Handle: RePEc:bpj:ecqcon:v:17:y:2002:i:1:p:81-98:n:8
    DOI: 10.1515/EQC.2002.81
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    References listed on IDEAS

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    1. E. Collani, 1999. "Control of production processes subjectto random shocks," Annals of Operations Research, Springer, vol. 91(0), pages 289-304, January.
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