Design of Economic Sampling Plan Based on Empirical Bayesian Approach

  • H. Ohta
  • S. Ogawa
Conference paper
Part of the Frontiers in Statistical Quality Control 4 book series (FSQC, volume 4)


It is necessary to estimate the percent nonconforming units in accepted lots for designing an economic sampling plan. Hahn(1986) solves the problem of estimating the number of nonconforming units in lots that pass zero-defect sampling inspection. He shows that the average number of nonconforming units in these lots can be estimated from the number of accepted lots and the number of lots rejected with a single nonconforming unit.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Cassella, G. (1985): “An Introduction to Empirical Bayes Data Analysis”, The American Statistician, Vol. 39, No. 2, pp. 83–87.MathSciNetCrossRefGoogle Scholar
  2. [2]
    Hahn, G. J. (1986): “Estimating the Percent Nonconforming in the Accepted Product After Zero Defect Sampling”, Journal of Quality Technology, Vol. 18, No. 3, pp. 182–188.Google Scholar
  3. [3]
    Martz, H. F. (1975): “Empirical Bayes Single Sampling Plans for Specified Posterior Consumer and Producer Risks”, Naval Research Logistics Quarterly, Vol. 22, No. 4, pp. 661–666.MathSciNetCrossRefGoogle Scholar
  4. [4]
    Robbins, H. (1955): “An Empirical Bayes Approach to Statistics”, Proceedings of Third Berkeley Symposium on Mathematical Statistics and Probability 1, Berkeley; University of California Press, pp. 157–164.Google Scholar
  5. [5]
    Zaslaysky, A. (1988): “Estimating Nonconformity Rates in c -Defect Sampling”, Journal of Quality Technology, Vol. 20, No. 4, pp. 248–259.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • H. Ohta
    • 1
  • S. Ogawa
    • 1
  1. 1.OsakaJapan

Personalised recommendations