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A note on Bayesian estimation of process capability indices

Author

Listed:
  • Shiau, Jyh-Jen Horng
  • Hung, Hui-Nien
  • Chiang, Chun-Ta

Abstract

Process capability indices are useful for assessing the capability of manufacturing processes. Most traditional methods are obtained from the frequentist point of view. We view the problem from the Bayes and empirical Bayes approaches by using non-informative and conjugate priors, respectively.

Suggested Citation

  • Shiau, Jyh-Jen Horng & Hung, Hui-Nien & Chiang, Chun-Ta, 1999. "A note on Bayesian estimation of process capability indices," Statistics & Probability Letters, Elsevier, vol. 45(3), pages 215-224, November.
    • Handle: RePEc:eee:stapro:v:45:y:1999:i:3:p:215-224
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    References listed on IDEAS

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    1. Samuel Kotz & Wen Lea Pearn & N. L. Johnson, 1993. "Some Process Capability Indices are More Reliable than One Might Think," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 42(1), pages 55-62, March.
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    Cited by:

    1. Wu, Chien-Wei, 2008. "Assessing process capability based on Bayesian approach with subsamples," European Journal of Operational Research, Elsevier, vol. 184(1), pages 207-228, January.
    2. Chien-Wei Wu & Tsai-Yu Lin, 2009. "A Bayesian procedure for assessing process performance based on the third-generation capability index," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(11), pages 1205-1223.

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