Sufficient reduction methods for multivariate time-dependent health surveillance data

DOI10.1080/03610926.2013.853793zbMath1381.62282OpenAlexW2076799587MaRDI QIDQ2807743

E. C. Stillman, S. Siripanthana

Publication date: 25 May 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.853793

zbMATH Keywords

sufficient statisticscorrelation within seriesmultivariate surveillance

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sufficient statistics and fields (62B05)

Cites Work

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• SOME STOCHASTIC PROPERTIES OF UPPER ONE-SIDED AND EWMA CHARTS FOR μ IN THE PRESENCE OF SHIFTS IN σ
• Sufficient Reduction in Multivariate Surveillance
• Multivariate Quality Control Chart for Autocorrelated Processes
• Some principles for surveillance adopted for multivariate processes with a common change point
• Optimal surveillance
• Multivariate statistical process control for autocorrelated processes
• Statistical Surveillance. Optimality and Methods
• A One-Sided EWMA Control Chart for Monitoring Process Means

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