Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint
This paper develops Bayesian inference in reliability of a class of scale mixtures of log-normal failure time (SMLNFT) models with stochastic (or uncertain) constraint in their reliability measures. The class is comprehensive and includes existing failure time (FT) models (such as log-normal, log-Ca...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-06-01
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| Series: | Entropy |
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| Online Access: | http://www.mdpi.com/1099-4300/19/6/274 |