On the Use of Prior Distributions in Acceptance Sampling * 700576

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.


Subscribers can view annotate, and download all of SAE's content. Learn More »


Members save up to 43% off list price.
Login to see discount.
Special Offer: With TechSelect, you decide what SAE Technical Papers you need, when you need them, and how much you want to pay.