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A Bayesian Approach for Aggregating Test Data Across Sub-Populations
Technical Paper
2005-01-1775
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In the process of conducting a reliability analysis of a system, quite often the population of interest is not homogenous; consisting of sub-populations which arise as production operations are adjusted, component suppliers are changed, etc. While these sub-populations are each unique in many ways, they also have much in common. It is also common for data to be available from a variety of different test regimes, e.g. environmental testing and fleet maintenance observations. Hierarchical Bayesian methods provide an organized, objective means of estimating the reliability of the individual systems, the sub-population reliability as well as the reliability of the entire population. This paper provides an introduction to a Bayesian approach that can be extended for more complicated situations.
Authors
Citation
Robinson, D. and Atcitty, C., "A Bayesian Approach for Aggregating Test Data Across Sub-Populations," SAE Technical Paper 2005-01-1775, 2005, https://doi.org/10.4271/2005-01-1775.Also In
SAE 2005 Transactions Journal of Passenger Cars: Mechanical Systems
Number: V114-6; Published: 2006-02-01
Number: V114-6; Published: 2006-02-01
References
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- Robinson, D. 2001 A Hierarchical Bayes Approach to System Reliability Analysis SAND 2001–3513, Sandia National Laboratories, Albuquerque, NM, USA
- Robinson, D. Chang I. 2002 An Application of BayesianMethods for Combining Data from Different Test Modalities SAND 2002–3953 Sandia National Laboratories Albuquerque, NM, USA
- Spiegelhalter, D. A. Thomas, N. Best 2004 WinBugs Version 1.4.1, http://www.mrc-bsu.cam.uk/bugs/