A Comparison of Spatiotemporal Surveillance Methods for Nonhomogeneous Change Size

DOI10.1080/03610918.2013.844837zbMath1474.62295OpenAlexW2141854158MaRDI QIDQ5860271

Seoung Bum Kim, Sung Won Han, Hua Zhong, Kyu Jong Lee

Publication date: 19 November 2021

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.844837

zbMATH Keywords

change point detectionmultivariate EWMAmultivariate CUSUMspatiotemporal surveillancegeneralized likelihood ratiosnonhomogeneous change size

Mathematics Subject Classification ID

Sequential statistical design (62L05) Sequential statistical analysis (62L10)

Cites Work

• Efficient scalable schemes for monitoring a large number of data streams
• Early detection of a change in Poisson rate after accounting for population size effects
• Surveillance Strategies for Detecting Changepoint in Incidence Rate Based on Exponentially Weighted Moving Average Methods
• Multivariate CUSUM Quality-Control Procedures
• A Multivariate Exponentially Weighted Moving Average Control Chart
• Statistical Evidence
• Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic
• A Comparison of Likelihood-Based Spatiotemporal Monitoring Methods Under Non-Homogenous Population Size
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