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Journal of Applied Statistics Volume 38, 2011 - Issue 10
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Original Articles

Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts

R. S. Sparks CSIRO Mathematics, Informatics Sand Statistics, Locked bag 17, North Ryde 1670, AustraliaCorrespondence[email protected]
,
T. Keighley CSIRO Mathematics, Informatics Sand Statistics, Locked bag 17, North Ryde 1670, Australia
&
D. Muscatello Centre for Epidemiology and Research, NSW Department of Health, Sydney, Australia
Pages 2165-2181 | Received 21 Jan 2010, Accepted 16 Nov 2010, Published online: 22 Jan 2011

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Read on this site (4)

Sotirios Bersimis, Athanasios Sachlas & Economou Polychronis. (2023) Public health monitoring using control charts based on convex hull. Research in Statistics 1:1.
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Ross Sparks, Brian Jin, Sarvnaz Karimi, Cecile Paris & C. R. MacIntyre. (2019) Real-time monitoring of events applied to syndromic surveillance. Quality Engineering 31:1, pages 73-90.
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Sarah C. Richards, William H. Woodall & Gregory Purdy. (2015) Surveillance of Nonhomogeneous Poisson Processes. Technometrics 57:3, pages 388-394.
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Ross Sparks. (2013) Challenges in designing a disease surveillance plan: What we have and what we need?. IIE Transactions on Healthcare Systems Engineering 3:3, pages 181-192.
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Articles from other publishers (16)

David Evans & Ross Sparks. (2023) Efficient algorithms for real-time syndromic surveillance. Journal of Biomedical Informatics 146, pages 104236.
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Partha Sarathi Mukherjee. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 361 381 .
Karl L. Hallgren, Nicholas A. Heard & Niall M. Adams. (2022) Changepoint detection in non-exchangeable data. Statistics and Computing 32:6.
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Petros E. Maravelakis, Athanasios C. Rakitzis & Philippe Castagliola. (2022) Exponentially weighed moving average charts for monitoring zero-inflated proportions with applications in health care. Statistical Methods in Medical Research 31:5, pages 959-977.
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Yunhan Huang & Quanyan Zhu. (2022) Game-Theoretic Frameworks for Epidemic Spreading and Human Decision-Making: A Review. Dynamic Games and Applications 12:1, pages 7-48.
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Yasar Mahmood, Sunaina Ishtiaq, Michael B C Khoo, Sin Yin Teh & Hina Khan. (2021) Monitoring of three-phase variations in the mortality of COVID-19 pandemic using control charts: where does Pakistan stand?. International Journal for Quality in Health Care 33:2.
Crossref
Ross Stewart Sparks & Hossein Hazrati-Marangaloo. 2021. Quality Control - Intelligent Manufacturing, Robust Design and Charts. Quality Control - Intelligent Manufacturing, Robust Design and Charts.
Ross Sparks, Aditya Joshi, Cecile Paris, Sarvnaz Karimi & C. Raina MacIntyre. (2020) Monitoring events with application to syndromic surveillance using social media data. Engineering Reports 2:5.
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Orlando Yesid Esparza Albarracin, Airlane Pereira Alencar & Linda Lee Ho. (2018) Effect of neglecting autocorrelation in regression EWMA charts for monitoring count time series. Quality and Reliability Engineering International 34:8, pages 1752-1762.
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Orlando Yesid Esparza Albarracin, Airlane Pereira Alencar & Linda Lee Ho. (2017) CUSUM chart to monitor autocorrelated counts using Negative Binomial GARMA model. Statistical Methods in Medical Research 27:9, pages 2859-2871.
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Manoochehr Solgi, Manoochehr Karami & Jalal Poorolajal. (2018) Timely detection of influenza outbreaks in Iran: Evaluating the performance of the exponentially weighted moving average. Journal of Infection and Public Health 11:3, pages 389-392.
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S. Bersimis & P. Economou. (2017) The use of length-biased distributions in statistical monitoring. Australian & New Zealand Journal of Statistics 59:2, pages 155-167.
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A. A. Hill, M. Crotta, B. Wall, L. Good, S. J. O'Brien & J. Guitian. (2017) Towards an integrated food safety surveillance system: a simulation study to explore the potential of combining genomic and epidemiological metadata. Royal Society Open Science 4:3, pages 160721.
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Ta-Chien Chan, Yung-Chu Teng & Jing-Shiang Hwang. (2015) Detection of influenza-like illness aberrations by directly monitoring Pearson residuals of fitted negative binomial regression models. BMC Public Health 15:1.
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Aamir Saghir & Zhengyan Lin. (2015) Control Charts for Dispersed Count Data: An Overview. Quality and Reliability Engineering International 31:5, pages 725-739.
Crossref
Aamir Saghir & Zhengyan Lin. (2015) The Negative Binomial Exponentially Weighted Moving Average Chart with Estimated Control Limits. Quality and Reliability Engineering International 31:2, pages 239-250.
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