Title :
The Sampling Inspection Method Based on Sequential Posterior Odd Test
Author :
Mao, Zhaoyong ; Song, Baowei
Author_Institution :
Sch. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
From the view point of the sample size can be reduced greatly by using the sequential posterior odd test (SPOT) method. Combining with the sampling inspection, a sampling inspection method for pass-fail data distribution based on SPOT was discussed in detail. The main contribution of this paper is that the proposed method combined the excellencies of SPOT method and sampling inspection method, so which not only can reduce the sample size due to making effectively use of the prior information, but also can very easily make sampling inspection project. A special sampling inspection case was presented, through computer simulation, the result shows that the proposed method is feasible, and demonstrates that it is better than traditional sampling inspection method for effective to reduce the sample size.
Keywords :
Bayes methods; inspection; manufacturing industries; sampling methods; Bayesian theory; computer simulation; pass fail distribution; sampling inspection method; sequential posterior odd test; Analytical models; Bayesian methods; Error probability; Inspection; Reliability; Waste materials; Weapons; Bayesian theory; Sampling inspection; Sequential posterior odd test;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.46