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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 43, 2011 - Issue 2
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Articles

A Bayesian Model for Integrating Multiple Sources of Lifetime Information in System-Reliability Assessments

C. Shane ReeseBrigham Young University, Provo, UT84602View further author information
,
Alyson G. WilsonIowa State University, Ames, IA50011View further author information
,
Jiqiang GuoIowa State University, Ames, IA50011View further author information
,
Michael S. HamadaLos Alamos National Laboratory, Los Alamos, NM87545View further author information
&
Valen E. JohnsonUniversity of Texas M. D. Anderson Cancer Center, Houston, TX77030View further author information
Pages 127-141 | Published online: 21 Nov 2017
 
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Abstract

We present a Bayesian model for assessing the reliability of multicomponent systems. Novel features of this model are the natural manner in which lifetime data collected at either the component, subsystem, or system level are integrated with prior information at any level. The model allows pooling of information between similar components, the incorporation of expert opinion, and straightforward handling of censored data. The methodology is illustrated with two examples.

Additional information

Notes on contributors

C. Shane Reese

Dr. Reese is a Professor in the Department of Statistics. His email address is [email protected].

Alyson G. Wilson

Dr. Wilson is an Associate Professor in the Department of Statistics. Her email address is [email protected].

Jiqiang Guo

Mr. Guo is a PhD Candidate in the Department of Statistics. His email address is [email protected].

Michael S. Hamada

Dr. Hamada is a Technical Staff Member in the Statistical Sciences Group. His email address is [email protected].

Valen E. Johnson

Dr. Johnson is a Professor in the Department of Biostatistics and Applied Mathematics. His email address is [email protected].

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