参考文献/References:
[1] 刘刚.ARIMA模型及其在麻疹发病率预测中的应用[J].数理医药学杂志,2011,24(4):379-382.
[2] Spaeder MC, Fackler JC. A multi-tiered time-series modelling approach to forecasting respiratory syncytial virus incidence at the local level[J]. Epidemiol Infect, 2012,140:602-607.
[3] Luz PM, Mendes BV, Codeco CT, et al. Time series analysis of dengue incidence in rio de janeiro, Brizal[J]. Am J Trop Med Hyg, 2008,79:933-939.
[4] Zhang X, Liu Y, Yang M, et al. Comparative study of four time series methods in forecasting typhoid fever incidence in China[J]. PloS one, 2013,8:e63116.
[5] 张磊,刘艳红.指数平滑法在预测深圳市宝安区肺结核病人发病人数的应用[J].实用预防医学,2014(8):911-913.
[6] 刘罗曼,时间序列分析中指数平滑法的应用[J].沈阳师范大学学报(自然科学版),2009,27(4):416-418.
[7] Jorgelina D’fana V, Shirley C, Luisa AP, et al. Incidence of tuberculosis at the local level: Marianao Municipality, Havana City, Cuba(1990-2000)[J].Rev Esp Salud Publica, 2003,77(2):221-231.
[8] 王昕,程小雯,房师松,等.指数平滑模型在流感样病例预测中的应用[J].中国热带医学,2011,11(8):938-939.
[9] Ratnasari S, Yuniaristanto, Zakaria R. Demand Forecasting with Five Parameter Exponential Smoothing[J]. IOP Conference Series: Materials Science and Engineering, 2019,495(1).
[10]唐广心, 张飞飞, 鲁苇葭, 等. 指数平滑法在麻疹发病率预测中的应用[J]. 实用预防医学, 2018,25(6):757-759.
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