Empirical Bayes Single-Sample Acceptance Sampling.
TEXAS TECH UNIV LUBBOCK DEPT OF INDUSTRIAL ENGINEERING
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Empirical Bayes single-sample acceptance sampling procedures are derived. These procedures assume that the lot fraction defective varies randomly according to a completely unknown and unspecified prior distribution. The unknown prior density function is estimated based on sample results from previous lots. Monte Carlo simulation is used to examine the performance of the Empirical Bayes estimators. The estimators perform well for a wide variety of prior density-parameter combinations. The mean and standard deviation of the Empirical Bayes estimators are presented for those parameter combinations simulated. A procedure is developed for obtaining Empirical Bayes single-sampling plans that achieve specified posterior consumer and producer risks. Modified author abstract
- Statistics and Probability
- Manufacturing and Industrial Engineering and Control of Production Systems