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- W322911504 abstract "Abstract : This paper deals with some pitfalls linked with the sampling model based on prior distribution and costs. First, a model is designed which encompasses most of the existing Bayesian cost models. The efficiency of sampling plans is investigated in a numerical study. It is shown that under realistic assumptions, described by Dodge (1969) and Schilling (1982), sampling plans based on prior distributions and costs are only efficient in an outlier model, i.e. if almost all lots are good quality and only a low number of lots, denoted as outlier lots, have very poor quality. Furthermore, it is demonstrated that for the Polya distribution a gain of sampling is linked with a high percentage of rejections, i.e. when the prior distribution cost relationship is such that less than 5% of the lots should be rejected sampling becomes inefficient." @default.
- W322911504 created "2016-06-24" @default.
- W322911504 creator A5008454417 @default.
- W322911504 date "1984-06-01" @default.
- W322911504 modified "2023-09-26" @default.
- W322911504 title "A Numerical Analysis of Sampling Plans Based on Prior Distribution and Costs." @default.
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- W322911504 doi "https://doi.org/10.21236/ada147718" @default.
- W322911504 hasPublicationYear "1984" @default.
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