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- W1746554673 abstract "Practitioners often base inferences regarding the capability of a process on a point estimate of one of the common indices without examining the distributional properties of the estimator used. The practice is due, in part, to (a) the complexity of the indices developed and, at least initially, (b) the lack of stochastic development in the general area of process capability indices. Since the mid-1980s the body of work addressing (a) estimation of and (b) drawing inference from process capability indices has grown steadily. Investigating process capability from a Bayesian perspective has mirrored this development. Much like the indices themselves, the Bayesian approach has seen two distinct patterns develop. One focus has been on examining parts nonconforming while a second examines the ability of a process to cluster around a target.Keywords:process capability;process performance" @default.
- W1746554673 created "2016-06-24" @default.
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- W1746554673 date "2014-09-29" @default.
- W1746554673 modified "2023-09-26" @default.
- W1746554673 title "Process Capability Indices, B ayesian Estimation of" @default.
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- W1746554673 doi "https://doi.org/10.1002/9781118445112.stat04132" @default.
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