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- W2062350772 abstract "Consider k (k ≥ 2) manufacturing processes whose mean θ i , variance and process capability index C pw (i), i = 1,…, k, are all unknown. For two given control values C pw (0) and , we are interested in selecting some process whose capability index is no less than C pw (0) and is the largest in the qualified subset in which each process variance is no larger than . Under a Bayes framework, we consider the normally distributed manufacturing processes taking normal-gamma as its conjugate prior. A Bayes approach is set up and an empirical Bayes procedure is proposed which has been shown to be asymptotically optimal. A simulation study is carried out for the performance of the proposed procedure and it is found practically useful." @default.
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- W2062350772 date "2009-05-06" @default.
- W2062350772 modified "2023-09-23" @default.
- W2062350772 title "Selecting the Best Process Based on Capability Index via Empirical Bayes Approach" @default.
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- W2062350772 doi "https://doi.org/10.1080/03610920802715024" @default.
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