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Statistical analysis of discrete-valued time series using categorical ARMA models

✍ Scribed by Peter X.-K. Song; R. Keith Freeland; Atanu Biswas; Shulin Zhang

Book ID: 119223921
Publisher: Elsevier Science
Year: 2013
Tongue: English
Weight: 287 KB
Volume: 57
Category: Article
ISSN: 0167-9473
DOI: 10.1016/j.csda.2012.06.003

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Statistical time series models are practical tools in public health surveillance. Their capacity to forecast future disease incidence values exempli"es their usefulness. Using these forecasts, one can develop strategies to trigger alerts to public health o$cials when irregular disease incidence valu