Statistics – Methodology
Scientific paper
2007-08-02
Statistical Science 2006, Vol. 21, No. 4, 514-531
Statistics
Methodology
Published at http://dx.doi.org/10.1214/088342306000000439 in the Statistical Science (http://www.imstat.org/sts/) by the Insti
Scientific paper
10.1214/088342306000000439
The systems that statisticians are asked to assess, such as nuclear weapons, infrastructure networks, supercomputer codes and munitions, have become increasingly complex. It is often costly to conduct full system tests. As such, we present a review of methodology that has been proposed for addressing system reliability with limited full system testing. The first approaches presented in this paper are concerned with the combination of multiple sources of information to assess the reliability of a single component. The second general set of methodology addresses the combination of multiple levels of data to determine system reliability. We then present developments for complex systems beyond traditional series/parallel representations through the use of Bayesian networks and flowgraph models. We also include methodological contributions to resource allocation considerations for system relability assessment. We illustrate each method with applications primarily encountered at Los Alamos National Laboratory.
Graves Todd L.
Hamada Michael S.
Reese Shane C.
Wilson Alyson G.
No associations
LandOfFree
Advances in Data Combination, Analysis and Collection for System Reliability Assessment does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Advances in Data Combination, Analysis and Collection for System Reliability Assessment, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Advances in Data Combination, Analysis and Collection for System Reliability Assessment will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-245182