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
fDate :
12/1/1992 12:00:00 AM
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;
Journal_Title :
Reliability, IEEE Transactions on
