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On the Use of Prior Distributions in Acceptance Sampling
ISSN: 0148-7191, e-ISSN: 2688-3627
Published February 01, 1970 by SAE International in United States
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The use and interpretation of prior and posterior distributions in Bayesian analyses is discussed with particular reference to whether the prior represents personal probability or the distribution of a random variable. One situation in which the latter applies is acceptance sampling, the parameter of interest varying from lot to lot. Two criteria for assessing or determining a sampling plan, which incorporate the information represented by the prior distribution into the producer's and consumer's risks, are presented and illustrated.
CitationEasterling, R., "On the Use of Prior Distributions in Acceptance Sampling
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