Early warning CUSUM plans for surveillance of negative binomial daily disease counts

DOI10.1080/02664760903186056OpenAlexW2032437149MaRDI QIDQ5123665

T. Keighley, D. Muscatello, R. S. Sparks

Publication date: 29 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760903186056

zbMATH Keywords

surveillancemonitoringaverage run lengthcumulative sumoutbreak detection

Mathematics Subject Classification ID

Statistics (62-XX)

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Uses Software

• spc

Cites Work

• Unnamed Item
• Implementing a class of structural change tests: an econometric computing approach
• Markov Regression Models for Time Series: A Quasi-Likelihood Approach
• Counted Data CUSUM's
• A Unified Approach to Structural Change Tests Based on ML Scores,FStatistics, and OLS Residuals
• CONTINUOUS INSPECTION SCHEMES