DocumentCode
986179
Title
Bayes computation for life testing and reliability estimation
Author
Dey, Dipak K. ; Lee, Tai-Ming
Author_Institution
Dept. of Stat., Connecticut Univ., Storrs, CT, USA
Volume
41
Issue
4
fYear
1992
fDate
12/1/1992 12:00:00 AM
Firstpage
621
Lastpage
626
Abstract
Powerful computational techniques for estimating the parameters and the reliability function of complex life distributions, using Bayes methods, from complete and type-II censored samples are given. The Gibbs sampler approach brings considerable conceptual and computational simplicity to the calculation of the posterior marginals and reliability. Considering constrained parameter and truncated data problems in multivariate life distributions, the Gibbs sampler procedure is easy to implement for sets of simulated data
Keywords
Bayes methods; failure analysis; life testing; probability; reliability theory; Bayes methods; Gibbs sampler procedure; failure analysis; life distributions; life testing; multivariate; posterior marginals; probability; reliability estimation; type-II censored samples; Distributed computing; Exponential distribution; Life estimation; Life testing; Monte Carlo methods; Parameter estimation; Probability; Reliability theory; Shape; State estimation;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/24.249600
Filename
249600
Link To Document