节点文献
全国内地非典型肺炎疫情自回归预报模型
An autoregression prediction model of SARS epidemic disease
【摘要】 利用时序分析方法研究从 2 0 0 3年 4月 2 7日开始卫生部办公厅发布的全国内地新增传染性非典型肺炎疫情报告 ,建立全国内地非典型肺炎疫情ARMAV预报模型 ,对模型进行适用性检验后 ,可以用所建模型对未来疫情进行外延预测。用时序分析方法进行监测、分析及预报 ,对非典型肺炎的疫情发展和关键影响因素等提供精度较高的预测结果
【Abstract】 The fitted models(ARMAV) of internal SARS epidemic disease by Ministry of Health P. R. China reporting SARS epidemic disease from 27.April using the time series analysis method were studied in this paper. Future epidemic diseases were predicted with the model after adaptoble testing. The prediction results can meet the demand of the epidemic prevention , the key acting elements and development of SARS epidemic disease by monitor can be shown, analysis and prediction using the method.
【关键词】 非典型肺炎;
ARMAV模型;
白噪声序列;
【Key words】 SARS; ARMAV model; white noise series:SARS; white noise series[;
【Key words】 SARS; ARMAV model; white noise series:SARS; white noise series[;
- 【文献出处】 沈阳航空工业学院学报 ,Journal of Shenyang Institute of Aeronautcal Engineering , 编辑部邮箱 ,2004年03期
- 【分类号】O29
- 【被引频次】3
- 【下载频次】131