DocumentCode
1320715
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.
Issue
3
fYear
1972
Firstpage
176
Lastpage
180
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;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.1972.5215981
Filename
5215981
Link To Document