EconPapers    
Economics at your fingertips  
 

Estimating Structural Reliability in the Presence of Covariates Via Bayesian Methods

Ho Linda Lee
Additional contact information
Ho Linda Lee: Depto de Engenharia de Produo, Escola Politcnica – USP, Caixa Postal 61548, 05424-970 - Sao Paulo, SP., Brazil. lindalee@usp.br

Stochastics and Quality Control, 2004, vol. 19, issue 2, 185-196

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.

Keywords: Strength-stress interference model; structural reliability; confidence limits; Bayesian analysis; Monte Carlo simulation (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/EQC.2004.185 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:ecqcon:v:19:y:2004:i:2:p:185-196:n:4

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html

DOI: 10.1515/EQC.2004.185

Access Statistics for this article

Stochastics and Quality Control is currently edited by George P. Yanev

More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:ecqcon:v:19:y:2004:i:2:p:185-196:n:4