A Bayesian approach to system reliability when two components are dependent

DOI10.1016/0167-9473(88)90014-XzbMath0726.62164OpenAlexW2080029528MaRDI QIDQ804201

Michael Evans, Irwin Guttman, Norman R. Draper

Publication date: 1988

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(88)90014-x

zbMATH Keywords

numerical integrationposterior distributionhighest posterior density intervalsGumbel bivariate exponential distributionHPD intervalsJacobi and Laguerre weight functions

Mathematics Subject Classification ID

Bayesian inference (62F15) Reliability and life testing (62N05) Numerical integration (65D30)

Related Items (1)

A Bayesian bivariate failure time regression model.

Cites Work

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• Bivariate Exponential Distributions
• Approximate Mean Squared Errors of Estimators of Reliability for k-out-of-m Systems in the Independent Exponential Case
• Approximately Optimum Confidence Bounds for System Reliability Based on Component Test Data
• Estimating Component Failure Rates from Combined Component and Systems Data: Exponentially Distributed Component Lifetimes
• Simplified Expressions for Obtaining Approximately Optimum System- Reliability Confidence Bounds from Exponential Subsystem Data

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