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Quality Engineering Volume 20, 2008 - Issue 4
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SPECIAL ISSUE: STATISTICAL QUALITY CONTROL IN HEALTHCARE

Comparing Directionally Sensitive MCUSUM and MEWMA Procedures with Application to Biosurveillance

Ronald D. Fricker Jr. Naval Postgraduate School, Operations Research Department, Monterey, CaliforniaCorrespondence[email protected]
,
Matthew C. Knitt Naval Postgraduate School, Operations Research Department, Monterey, California
&
Cecilia X. Hu Naval Postgraduate School, Operations Research Department, Monterey, California
Pages 478-494 | Published online: 11 Sep 2008

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Saowanit Sukparungsee, Sasigarn Kuvattana, Piyapatr Busababodhin & Yupaporn Areepong. (2017) Multivariate copulas on the MCUSUM control chart. Cogent Mathematics 4:1.
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Chen-ju Lin & Yi-chun Shu. (2015) Detecting clusters with increased mean using scan windows with variable radius. Journal of Applied Statistics 42:11, pages 2420-2431.
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David M. Ruth & Robert A. Koyak. (2011) Nonparametric Tests for Homogeneity Based on Non-Bipartite Matching. Journal of the American Statistical Association 106:496, pages 1615-1625.
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Articles from other publishers (17)

Abdul Haq, Komal Sohrab & Michael B. C. Khoo. (2021) Directionally sensitive weighted adaptive multivariate CUSUM mean charts. Quality and Reliability Engineering International 37:6, pages 2970-2988.
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Jaehong Yu, Seoung Bum Kim, Jinli Bai & Sung Won Han. (2020) Comparative Study on Exponentially Weighted Moving Average Approaches for the Self-Starting Forecasting. Applied Sciences 10:20, pages 7351.
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Ünal Cengiz & Mehmet Karahasan. (2019) A new statistical early outbreak detection method for biosurveillance and performance comparisons. Statistics in Medicine 38:27, pages 5236-5258.
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Céline Faverjon, Luís Pedro Carmo & John Berezowski. (2019) Multivariate syndromic surveillance for cattle diseases: Epidemic simulation and algorithm performance evaluation. Preventive Veterinary Medicine 172, pages 104778.
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Adriano B. Moala, Linda L. Ho & Roberto C. Quinino. (2019) Multivariate control charts to monitor the monthly frequency of vehicle robberies in São Paulo city. Spatial Statistics 29, pages 49-65.
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Meng J. Zhao, Anne R. Driscoll, Srijan Sengupta, Ronald D. FrickerJrJr, Dan J. Spitzner & William H. Woodall. (2018) Performance evaluation of social network anomaly detection using a moving window-based scan method. Quality and Reliability Engineering International 34:8, pages 1699-1716.
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A.C. Whist, K.H. Liland, M.E. Jonsson, S. Sæbø, S. Sviland, O. Østerås, M. Norström & P. Hopp. (2014) Designing a risk-based surveillance program for Mycobacterium avium ssp. paratuberculosis in Norwegian dairy herds using multivariate statistical process control analysis. Journal of Dairy Science 97:11, pages 6835-6849.
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Inbal Yahav & Galit Shmueli. (2014) Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance. Quality and Reliability Engineering International 30:2, pages 159-179.
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Chen-ju Lin, Kwok-Leung Tsui & Chen-yu Lin. (2014) A Spatial-EWMA Framework for Detecting Clustering. Quality and Reliability Engineering International 30:2, pages 181-189.
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Chen-ju Lin & Yi-chun Shu. (2013) Detecting high incidence by using variable scan radius. Detecting high incidence by using variable scan radius.
Jian Zou, Alan F. Karr, David Banks, Matthew J. Heaton, Gauri Datta, James Lynch & Francisco Vera. (2012) Bayesian methodology for the analysis of spatial-temporal surveillance data. Statistical Analysis and Data Mining 5:3, pages 194-204.
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Ronald D. FrickerJr.Jr. & David Banschbach. (2012) Optimizing biosurveillance systems that use threshold-based event detection methods. Information Fusion 13:2, pages 117-128.
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Inbal Yahav & Galit Shmueli. (2011) On generating multivariate Poisson data in management science applications. Applied Stochastic Models in Business and Industry 28:1, pages 91-102.
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Ronald D. FrickerJrJr. (2011) Some methodological issues in biosurveillance. Statistics in Medicine 30:5, pages 403-415.
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Sung Won Han, Kwok‐Leung Tsui, Bancha Ariyajunya & Seoung Bum Kim. (2009) A comparison of CUSUM, EWMA, and temporal scan statistics for detection of increases in poisson rates. Quality and Reliability Engineering International 26:3, pages 279-289.
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William H. Woodall, Olivia A. Grigg & Howard S. Burkom. 2010. Frontiers in Statistical Quality Control 9. Frontiers in Statistical Quality Control 9 145 155 .
Inbal Yahav & Galit Shmueli. (2009) On Generating Multivariate Poisson Data in Management Science Applications. SSRN Electronic Journal.
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