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A Bayesian approach for assessing process precision based on multiple samples

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  • Pearn, W. L.
  • Wu, Chien-Wei

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  • Pearn, W. L. & Wu, Chien-Wei, 2005. "A Bayesian approach for assessing process precision based on multiple samples," European Journal of Operational Research, Elsevier, vol. 165(3), pages 685-695, September.
    • Handle: RePEc:eee:ejores:v:165:y:2005:i:3:p:685-695
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    References listed on IDEAS

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    1. W. Pearn & Y. Yang, 2003. "Distributional and Inferential Properties of the Estimated Precision C p Based on Multiple Samples," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(4), pages 443-453, November.
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    Cited by:

    1. Wu, Chien-Wei & Pearn, W.L. & Kotz, Samuel, 2009. "An overview of theory and practice on process capability indices for quality assurance," International Journal of Production Economics, Elsevier, vol. 117(2), pages 338-359, February.
    2. Hsu, Bi-Min & Shu, Ming-Hung, 2008. "Fuzzy inference to assess manufacturing process capability with imprecise data," European Journal of Operational Research, Elsevier, vol. 186(2), pages 652-670, April.
    3. A. Parchami & M. Mashinchi, 2010. "A new generation of process capability indices," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(1), pages 77-89.
    4. 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.
    5. Wu, Chien-Wei, 2009. "Decision-making in testing process performance with fuzzy data," European Journal of Operational Research, Elsevier, vol. 193(2), pages 499-509, March.

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