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Bayes parameter estimation for the bivariate Weibull model of Marshall-Olkin for censored data [reliability theory]

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1 Author(s)
Jye-Chyi Lu ; Dept. of Stat., North Carolina State Univ., Raleigh, NC, USA

Industrial applications frequently require statistical procedures to analyze life-test data from various sources, particularly in situations where observations are limited. The author develops a Bayes parameter estimation method for bivariate censored data collected from both system and component levels. The bivariate Weibull distribution of Marshall & Olkin (1967) is used to model lifetimes of components in a two-component system. Closed-form Bayes estimators of the model parameters are proposed along with their variances and high-probability density intervals

Published in:

Reliability, IEEE Transactions on  (Volume:41 ,  Issue: 4 )

Date of Publication:

Dec 1992

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