- 期刊
- OpenAccess
Bayesian Double Sampling Plan under Gamma-Poisson Distribution
並列摘要
The present study proposes a Bayesian double sampling plan for the inspection of attribute quality characteristics under the gamma-Poisson distribution. The design parameters of the proposed plan such as the sample sizes and the acceptance numbers are determined for specified two points on operating characteristics curve such as acceptable quality level and limiting quality level along with the corresponding producer's and the consumer's risks. The optimal parameters are determined using the minimum average sample number criteria. Extensive tables are provided for selection of parameters of the proposed plan for selected combinations of two quality levels and the results are explained with examples.
延伸閱讀
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