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Bayesian Analysis of Quality Level Using Simulation Methods

Summary: [This abstract is based on the author's abstract. A longer abstract is available on the journal's website.]

Using simulation techniques to implement Bayesian methods is proposed for making inferences about the number, or proportion, of nonconforming units in a quality control setting. Random draws from the posterior distribution of the target quantities of interest are used to construct needed inferences and to perform model checking and sensitivity analysis.

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  • Topics: Statistics, Sampling, Quality Control
  • Keywords: Statistics,Acceptance sampling,Variables sampling plans,Statistical quality control (SQC)
  • Author: Raghunathan, T.E.
  • Journal: Journal of Quality Technology