Proof of Han's hypothesis on relations among two-sided M-Bayesian credible limits and corresponding two-sided classical confidence limits

This paper studies the interval estimation problem of reliability parameters of binomial distribution, in the case of zero-failure data, using the method of two-sided M-Bayesian credible limit. It proves the hypothesis that was provided by Han [1]: two-sided M-Bayesian credible limits is superior to...

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Bibliographic Details
Published in2016 35th Chinese Control Conference (CCC) pp. 6709 - 6711
Main Authors Dai, Wanyi, Hu, Yueming, Li, Siqi, Zhang, Mei, Mei, Dongfang
Format Conference Proceeding Journal Article
LanguageEnglish
Published TCCT 01.07.2016
Subjects
Bayes methods
Binomials
Conferences
Confidence limits
Estimation
Intervals
Parameter estimation
Parameters
Probability distribution
reliability
Reliability theory
RNA
two-sided classical confidence limits
two-sided M-Bayesian credible limits
zero-failure data
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Summary:This paper studies the interval estimation problem of reliability parameters of binomial distribution, in the case of zero-failure data, using the method of two-sided M-Bayesian credible limit. It proves the hypothesis that was provided by Han [1]: two-sided M-Bayesian credible limits is superior to the corresponding two-sided classical confidence limits when estimation reliability derived from binomial distribution in the case of zero-failure data.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISSN:2161-2927
1934-1768
DOI:10.1109/ChiCC.2016.7554412