This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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674
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Type:
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Contributed
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Date/Time:
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Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #307743 |
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Title:
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Estimating Reliabilities for Complex Systems Using Multilevel and Multitype Information
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Author(s):
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Jiqiang Guo*+ and Alyson Wilson
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Companies:
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Iowa State University and Iowa State University
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Address:
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1219 Snedecor Hall, Ames, IA, 50011,
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Keywords:
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Bayesian ;
Reliability ;
Complex System
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Abstract:
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We propose a unified Bayesian approach to assess the reliability of multi-component complex systems. This model allows to consistently take advantage of all available diverse information at all levels without any approximation. Data can arise at all nodes including components, sub-systems, and systems in the forms of Binomial pass/fail data, lifetime data (censored data included), degradation data, and possibly others, or a combination of different types. We illustrate the methodology through analyzing a prototype complex system. We further discuss on how to extend the approach to more complex systems.
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