• DocumentCode
    1349590
  • Title

    Determining Sample Size When Searching for Rare Items

  • Author

    Madsen, Richard W. ; Holstein, James E.

  • Author_Institution
    Department of Statistics; University of Missouri; Columbia, Missouri 65211 USA.
  • Issue
    5
  • fYear
    1982
  • Firstpage
    451
  • Lastpage
    454
  • Abstract
    Reliability and safety engineers are frequently searching for relatively rare items such as defective connections in a core auxiliary cooling system. They are involved with the problem of determining how large a sample should be taken from a finite dichotomous population when the proportion of defective items is thought to be small. We present a non-Bayesian and a Bayesian approach to determine sample size.
  • Keywords
    Bayesian methods; Inspection; Polynomials; Probability; Reliability engineering; Reliability theory; Sampling methods; Software reliability; Software safety; Statistical distributions; Binomial prior distribution; Finite dichotomous population; Hypergeometric conditional distribution; Rare items; Sample size;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1982.5221429
  • Filename
    5221429