Title :
Bayesian Acceptance Sampling
Author :
Gimlin, Darrell R. ; Breipohl, Arthur M.
Author_Institution :
Department of Electrical Engineering, Texas A & M University, College Station, Tex. 77840.
Abstract :
This tutorial paper shows, via an example, how optimum sampling plans can be derived using Bayesian decision theory. Both nonsequential and sequential sampling plans are described. The Bayesian method is contrasted with classical methods. The salient difference between Bayesian and classical methods is that the Bayesian approach allows one formally to pose and answer the question: ``How many should I test?´´.
Keywords :
Bayesian methods; Costs; Decision theory; Manufacturing processes; Materials testing; Probability; Reliability engineering; Reliability theory; Sampling methods;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1972.5215981