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 |
|---|---|
| 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
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Cite this
Tsui, K. L., Han, S. W., Jiang, W., & Woodall, W. H. (2012). A review and comparison of likelihood-based charting methods. IIE Transactions (Institute of Industrial Engineers), 44(9), 724-743. https://doi.org/10.1080/0740817X.2011.582476