Improving EWMA plans for detecting unusual increases in Poisson counts

DOI10.1155/2009/512356zbMath1175.62117OpenAlexW2038695296WikidataQ58646837 ScholiaQ58646837MaRDI QIDQ1040032

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

Publication date: 23 November 2009

Published in: Journal of Applied Mathematics and Decision Sciences (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/232682

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

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Cites Work

• Implementing a class of structural change tests: an econometric computing approach
• A Statistical Algorithm for the Early Detection of Outbreaks of Infectious Disease
• A Simple Risk-Adjusted Exponentially Weighted Moving Average
• A Unified Approach to Structural Change Tests Based on ML Scores,FStatistics, and OLS Residuals
• Adaptive Thresholds

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