Abstract
This article presents a review of two popular methods for temporal surveillance and proposes a general framework for spatial and spatiotemporal surveillance based on likelihood ratio statistics. It is shown that the cumulative sum and Shiryayev-Roberts statistics are special cases under such a general framework. The efficiencies of some surveillance methods are compared for the detection of clusters of high incidence rates in spatial and spatiotemporal applications using both Monte Carlo simulations and a real example.
Original language | English |
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Pages (from-to) | 724-743 |
Number of pages | 20 |
Journal | IIE Transactions (Institute of Industrial Engineers) |
Volume | 44 |
Issue number | 9 |
DOIs | |
Publication status | Published - 2012 Sep 1 |
Externally published | Yes |
Keywords
- Change-point detection
- Shiryayev-Roberts methods
- cumulative sum chart
- detection delay
- scan statistics
- spatial clusters
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering