摘要
2009年初,世界各地先后发生了甲型H1N1流感.针对加拿大2009年疫情,建立了恰当的ARIMA模型,以实现每日H1N1疫情的预测.经过实证分析,预测的绝对误差在11%以内,总的平均误差是8.39%,该模型成功地对加拿大2009年疫情进行了预测.
At the beginning of the year of 2009,H1N1 influenza outbreak took place throughout the world.According to the epidemic situation in 2009 in Canada,this paper establishes an appropriate ARIMA model in order to achieve a daily prediction of H1N1 pandemic.After a positive analysis,the absolute error of the prediction is less than 11%;while the total average error is 8.39%.This model successfully predicts the disease of Canada in 2009.
出处
《吉首大学学报（自然科学版）》
CAS
2011年第4期35-38,共4页
Journal of Jishou University(Natural Sciences Edition)
基金
中央高校基本科研业务费专项资金资助项目(SWJTU09CX075)
