• DocumentCode
    1320715
  • Title

    Bayesian Acceptance Sampling

  • Author

    Gimlin, Darrell R. ; Breipohl, Arthur M.

  • Author_Institution
    Department of Electrical Engineering, Texas A & M University, College Station, Tex. 77840.
  • Issue
    3
  • fYear
    1972
  • Firstpage
    176
  • Lastpage
    180
  • Abstract
    This tutorial paper shows, via an example, how optimum sampling plans can be derived using Bayesian decision theory. Both nonsequential and sequential sampling plans are described. The Bayesian method is contrasted with classical methods. The salient difference between Bayesian and classical methods is that the Bayesian approach allows one formally to pose and answer the question: ``How many should I test?´´.
  • Keywords
    Bayesian methods; Costs; Decision theory; Manufacturing processes; Materials testing; Probability; Reliability engineering; Reliability theory; Sampling methods;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1972.5215981
  • Filename
    5215981