Bayesian estimation of the variability of reliability measures

Author

Groen, Frank J. ; Droguett, Enrique López

Author_Institution

Maryland Univ., College Park, MD, USA

fYear

2003

fDate

2003

Firstpage

182

Lastpage

187

Abstract

Bayesian population variability analysis, also known as the first stage in two-stage Bayesian updating, is an estimation procedure for the assessment of the variability of reliability measures among a group of subpopulations of similar systems. The estimated variability distributions are used as prior distributions in system-specific Bayesian updates. In this paper, we briefly outline the estimation procedure itself as well as its link with conventional Bayesian updating procedures, describe the various results generated by the procedures and their behavior under various data conditions, and provide some numerical examples.

Keywords

Bayes methods; estimation theory; reliability; Bayesian estimation; Bayesian population variability analysis; estimated variability distributions; estimation procedure; prior distributions; reliability measures variability; similar systems subpopulations; system-specific Bayesian updates; two-stage Bayesian updating; Bayesian methods; Educational institutions; Estimation theory; Maintenance; Natural gas; Pressure control; Production systems; Reliability theory; Software algorithms; Temperature sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability and Maintainability Symposium, 2003. Annual

ISSN

0149-144X

Print_ISBN

0-7803-7717-6

Type

conf

DOI

10.1109/RAMS.2003.1181923

Filename

1181923