Selection of Bayesian Single Sampling Attributes Plans Based on Polya Distribution

Rajagopal K., Loganathan A. and Vijayaraghavan R.
Additional contact information
Rajagopal K.: Department of Mathematics, Sri Vasavi College, Erode 638 316, India. krajstat63@yahoo.com
Loganathan A.: Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli 627 012, India. aln_24@rediffmail.com
Vijayaraghavan R.: Department of Statistics, Bharathiar University, Coimbatore 641 046, India. rvijayrn@yahoo.com

Stochastics and Quality Control, 2009, vol. 24, issue 2, 179-193

Abstract: Acceptance sampling plans by attributes involving sampling from the binomial distribution and the process average fraction nonconforming following a beta distribution are termed as Polya sampling plans. An iterative procedure of finding the parameters of a single sampling plan by attributes under Polya distribution satisfying given conditions with respect to producer's and consumers's risks is presented and tables are constructed for selecting the sampling parameters. The performance/discriminating power of the Polya single sampling plans is also discussed by determining the operating characteristic curve.

Keywords: Bayesian acceptance sampling; operating characteristic curve (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1515/EQC.2009.179

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