Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore

Please use this identifier to cite or link to this item: https://doi.org/10.1186/1472-6963-5-36

Title:	Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore
Authors:	Earnest A. Chen M.I. Ng D. Leo Y.S.
Issue Date:	2005
Publisher:	BioMed Central Ltd.
Citation:	Earnest A., Chen M.I., Ng D., Leo Y.S. (2005). Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore. BMC Health Services Research 5. ScholarBank@NUS Repository. https://doi.org/10.1186/1472-6963-5-36
Source Title:	BMC Health Services Research
URI:	http://scholarbank.nus.edu.sg/handle/10635/144330
ISSN:	14726963
DOI:	10.1186/1472-6963-5-36
Appears in Collections:	Elements Staff Publications

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