DocumentCode :
1315898
Title :
Bayes and classical estimation of environmental factors for the binomial distribution
Author :
Elsayed, E.A. ; Wang, Hongzhou
Author_Institution :
Dept. of Ind. Eng., Rutgers Univ., Piscataway, NJ, USA
Volume :
45
Issue :
4
fYear :
1996
fDate :
12/1/1996 12:00:00 AM
Firstpage :
661
Lastpage :
665
Abstract :
An environmental factor converts reliability test results at one environmental condition into equivalent “failure” information at other environments. This paper studies environmental-factor estimation for the binomial distribution. Under general conditions, Bayes point estimates and credibility limits for environmental factors are derived. Classical point and confidence interval estimates are introduced and compared with the Bayes estimators. The characteristics of Bayes and classical estimators for the binomial distribution are summarized through numerical computation and theoretical analysis. A numerical example of reliability assessment by means of environmental factors is presented
Keywords :
Bayes methods; binomial distribution; reliability theory; Bayes estimation; Bayes point estimates; binomial distribution; classical estimation; credibility limits; environmental factors; environmental-factor estimation; equivalent failure information; reliability assessment; reliability test results; Acceleration; Distributed computing; Environmental factors; Gaussian distribution; Laboratories; Life estimation; Life testing; Power system reliability; Stress; System testing;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.556590
Filename :
556590
Link To Document :
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