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Estimating Structural Reliability in the Presence of Covariates Via Bayesian Methods
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Linda Lee Ho
Published/Copyright:
March 10, 2010
Abstract
In a strength-stress interference model, we are interested in estimating the structural reliability of a system. Here we present Bayesian procedures to estimate the structural reliability and other relevant parameters when covariates are incorporated in the model. Numerical examples illustrate the proposed procedure.
Key Words:: Strength-stress interference model; structural reliability; confidence limits; Bayesian analysis; Monte Carlo simulation
Published Online: 2010-03-10
Published in Print: 2004-October
© Heldermann Verlag
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Keywords for this article
Strength-stress interference model;
structural reliability;
confidence limits;
Bayesian analysis;
Monte Carlo simulation
Articles in the same Issue
- Maintenance Policies with Minimal Repair
- Analysis of a Repairable System Subjected To Multiple Modes of Failure
- Run Length Variability and Three Sigma Control Limits
- Estimating Structural Reliability in the Presence of Covariates Via Bayesian Methods
- A Note on Point Estimation of System Reliability Exemplified for the Log-Logistic Distribution
- A Note on Testing Exponentiality Against New Better Than Used of Specified Age
- Measurement Procedures for Improving the Variability Function
- The Least Cost Testing Sequence Problem
- Process Control for Three Quality Classes and Three Repair Actions
- Standardisation of Flour Testing in Alveograph NG
- A Problem Called ISO 2859-1 Sampling Procedures for Inspection by Attributes - Part 1
