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ARIMA模型及其在麻疹发病率预测中的应用
引用本文:刘刚,单芙香.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.
作者姓名:刘刚  单芙香
作者单位:深圳市疾病预防控制中心,深圳,518020
基金项目:2009年深圳市科技计划项目
摘    要:目的:探讨应用时间序列ARIMA模型对麻疹发病率预测的可行性,为预防和控制麻疹提供依据。方法:采用SPSS17.0对深圳市2002~2007年麻疹月发病的资料建立ARIMA模型,并对预测效果进行评价。结果:建立模型ARIMA(1,1,0)×(0,1,1)12是合适的,Q统计量计算方法,Q=16.34,P>0.05。结论:ARIMA模型能很好的模拟深圳市麻疹发病率的变动趋势,预测效果可靠。

关 键 词:麻疹  预测  时间序列分析  ARIMA模型

Application of ARIMA Model in Forecast Incidence of Measles
Liu Gang,et al.Application of ARIMA Model in Forecast Incidence of Measles[J].Journal of Mathematical Medicine,2011,24(4):379-382.
Authors:Liu Gang  
Institution:Liu Gang,et al(Shenzhen Center for Disease Control and Prevention,Shenzhen 518020)
Abstract:Objective: To explore the feasibility of auto regressive integrated moving average(ARIMA) model and to develop scientific basis for prevention and control measles. Method: ARIMA model was established based on the measles incidence in Shenzhen from 2002 to 2007 and the prediction effect was evaluated by SPSS13.0 software. Results: The model of ARIMA(1,1,0)Х (0,1,1)12 was established. The statistic of Q was 16.34(P〉0.05), verifying the applicability of this mode, Conclusion: ARIMA model can be used to exactly fit the changes of the incidence of measles and predict the future measles incidence in future.
Keywords:measles  prediction  time series  ARIMA model  
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