DocumentCode
2682882
Title
Optimum truncated sequential test of binomial distribution
Author
Hu, Sigui
Author_Institution
Coll. of Basics Med. Sci., Guiyang Med. Univ., Guiyang, China
fYear
2011
fDate
12-15 June 2011
Firstpage
293
Lastpage
298
Abstract
Binomial distribution is very useful in wide fields. And the truncated sequential test theory for the simple null hypothesis vs simple alternative hypothesis is the basis in binomial distribution sequential analysis. In this paper we have defined precise definitions of truncated sequential test of binomial distribution, such as, optimum truncated sequential test, uniformly optimum truncated sequential test (UOTST), nature extended truncated sequential test (NETST) of fixed sample size test, and so on. We also present the sufficient conditions for UOTST, and a lot of relative properties of truncated sequential test. At the end of this paper, we compare the UOTST with IEC1123, sequential mesh test (SMT) methods of truncated sequential test, the results show that UOTST has made significant improvement relatively, and the UOTST presented here is feasible and reliable.
Keywords
binomial distribution; sequential estimation; binomial distribution sequential analysis; nature extended truncated sequential test; null hypothesis; sequential mesh test methods; simple alternative hypothesis; uniform truncated sequential test theory; Artificial neural networks; Optimization; Probability; Sequential analysis; Sufficient conditions; Testing; Waste materials; Binomial distribution; Optimum truncated sequential test; Sequential analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
Conference_Location
Guiyang
Print_ISBN
978-1-61284-667-5
Type
conf
DOI
10.1109/ICRMS.2011.5979278
Filename
5979278
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