A Demonstration of Modern Bayesian Methods for Assessing System Reliability with Multilevel Data and for Allocating Resources
Joint Authors
Hamada, Michael S.
Graves, Todd L.
Source
International Journal of Quality, Statistics, and Reliability
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-02-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Economics & Business Administration
Economy
Abstract EN
Good estimates of the reliability of a system make use of test data and expert knowledge at all available levels.
Furthermore, by integrating all these information sources, one can determine how best to allocate scarce testing resources to reduce uncertainty.
Both of these goals are facilitated by modern Bayesian computational methods.
We demonstrate these tools using examples that were previously solvable only through the use of ingenious approximations, and employ genetic algorithms to guide resource allocation.
American Psychological Association (APA)
Graves, Todd L.& Hamada, Michael S.. 2010. A Demonstration of Modern Bayesian Methods for Assessing System Reliability with Multilevel Data and for Allocating Resources. International Journal of Quality, Statistics, and Reliability،Vol. 2009, no. 2009, pp.1-10.
https://search.emarefa.net/detail/BIM-496195
Modern Language Association (MLA)
Graves, Todd L.& Hamada, Michael S.. A Demonstration of Modern Bayesian Methods for Assessing System Reliability with Multilevel Data and for Allocating Resources. International Journal of Quality, Statistics, and Reliability No. 2009 (2009), pp.1-10.
https://search.emarefa.net/detail/BIM-496195
American Medical Association (AMA)
Graves, Todd L.& Hamada, Michael S.. A Demonstration of Modern Bayesian Methods for Assessing System Reliability with Multilevel Data and for Allocating Resources. International Journal of Quality, Statistics, and Reliability. 2010. Vol. 2009, no. 2009, pp.1-10.
https://search.emarefa.net/detail/BIM-496195
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496195