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Analysis of Variance for Item Differences in Verification Data with Unknown Groups
Joint Authors
Burr, Tom
Martin, K.
Norman, C.
Zhao, K.
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-01
Country of Publication
Egypt
No. of Pages
10
Abstract EN
For sequentially collected data, this paper introduces a lag-one differencing method to estimate the random error standard deviation δR and then uses the estimate δ^R to calculate a change detection threshold in a moving window method to detect shifts in the short-term systematic error.
Performance results on simulated and real data are presented.
Fortunately, the impact of having to perform change detection on the estimated short-term systematic and random error variances is anticipated to be modest or small.
The motivating example arises from facilities under nuclear safeguards agreements, where inspector data collected during International Atomic Energy Agency (IAEA) verifications are compared to corresponding operator data.
The differences between the operator and inspector values are evaluated using an application of analysis of variance (ANOVA).
Typically, it is assumed that short-term systematic errors change across inspection periods, so inspection periods form the groups used in the ANOVA.
In some data sets, it appears that the short-term errors have changed at other times, so change detection methods could be used to detect the actual change times.
American Psychological Association (APA)
Burr, Tom& Martin, K.& Norman, C.& Zhao, K.. 2019. Analysis of Variance for Item Differences in Verification Data with Unknown Groups. Science and Technology of Nuclear Installations،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1210813
Modern Language Association (MLA)
Burr, Tom…[et al.]. Analysis of Variance for Item Differences in Verification Data with Unknown Groups. Science and Technology of Nuclear Installations No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1210813
American Medical Association (AMA)
Burr, Tom& Martin, K.& Norman, C.& Zhao, K.. Analysis of Variance for Item Differences in Verification Data with Unknown Groups. Science and Technology of Nuclear Installations. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1210813
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210813