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시공간 탐지 정확성을 고려한 다변량 누적합 관리도의 비교

Comparison of Multivariate CUSUM Charts Based on Identification Accuracy for Spatio-temporal Surveillance

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주제분류학제간연구

초록

Purpose: The purpose of this study is to compare two multivariate cumulative sum (MCUSUM) charts designed for spatio-temporal surveillance in terms of not only temporal detection performance but also spatial detection performance. Method: Experiments under various configurations are designed and performed to test two CUSUM charts, namely SMCUSUM and RMCUSUM. In addition to average run length(ARL), two measures of spatial identification accuracy are reported and compared. Results: The RMCUSUM chart provides higher level of spatial identification accuracy while two charts show comparable performance in terms of ARL. Conclusion: The RMCUSUM chart has more flexibility, robustness, and spatial identification accuracy when compared to those of the SMCUSUM chart. We recommend to use the RMCUSUM chart if control limit calibration is not an urgent task.

Abstract

Purpose: The purpose of this study is to compare two multivariate cumulative sum (MCUSUM) charts designed for spatio-temporal surveillance in terms of not only temporal detection performance but also spatial detection performance. Method: Experiments under various configurations are designed and performed to test two CUSUM charts, namely SMCUSUM and RMCUSUM. In addition to average run length(ARL), two measures of spatial identification accuracy are reported and compared. Results: The RMCUSUM chart provides higher level of spatial identification accuracy while two charts show comparable performance in terms of ARL. Conclusion: The RMCUSUM chart has more flexibility, robustness, and spatial identification accuracy when compared to those of the SMCUSUM chart. We recommend to use the RMCUSUM chart if control limit calibration is not an urgent task.

참고문헌 (14)

  1. Fricker, Ronald D., "Comparing Syndromic Surveillance Detection Methods : EARS versus a CUSUM-based Methodology", Statistics in Medicine, 27, pp.3407~3429 (2008)
  2. Han, Sung Won, "A Comparison of CUSUM, EWMA, and Temporal Scan Statistics for Detection of Increases in Poisson Rates", Quality and Reliability Engineering International, 26, pp.279~289 (2010)
  3. He, Ketai, "Enhancing the Monitoring of 3D Scanned Manufactured Parts Through Projections and Spatiotemporal Control Charts", Journal of Intelligent Manufacturing, in print (2014)
  4. Jiang, Wei, "Spatiotemporal Surveillance Methods in the Presence of Spatial Correlation", Statistics in Medicine, 30, pp.569~583 (2011)
  5. Kim, Seong-Hee, "A Distribution-free Tabular CUSUM Chart for Autocorrelated Data", IIE Transactions, 39, pp.317~330 (2007)
  6. Lawson, Andrew B., "Statistical Methods in Spatial Epidemiology" (2007), Wiley
  7. Lee, Mi Lim, "Robust Distribution-free Multivariate CUSUM Charts for Spatiotemporal Biosurveillance in the Presence of Spatial Correlation", IIE Transactions on Healthcare Systems Engineering, 5, pp.74~88 (2015)
  8. Lee, Mi Lim, "Spatiotemporal Biosurveillance with Spatial Clusters: Control Limit Approximation and Impact of Spatial Correlation", IIE Transactions, 46, pp.813~827 (2014)
  9. Montgomery, Douglas C., "Introduction to Statistical Quality Control" (2009), John Wiley & Sons
  10. Rogerson, Peter A., "Monitoring change in spatial patterns of disease : Comparing Univariate and Multivariate Cumulative Sum Approaches", Statistics in Medicine, 23, pp.2195~2214 (2004)
  11. Sonesson, Christian, "A Review and Discussion of Prospective Statistical Surveillance in Public Health", Journal of the Royal Statistical Society : Series A, 166, pp.5~21 (2003)
  12. Tsui, Kwok-Leung, "and Syndromic Surveillance", Quality Engineering, 20, pp.435~450 (2008)
  13. Woodall, William H, "The Use of Control Charts in Health-care and Public-health Surveillance", Journal of Quality Technology, 38, pp.89~104 (2006)
  14. Woodall, William H., "Multivariate CUSUM quality-control procedures", Technometrics, 27, pp.285~292 (1985)

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