Prediction and Analysis on Temperature Change Trend of Anshan Area

摘要：

Based on the time series analysis, the paper uses time series auto-regressive moving average (ARMA) prediction model and EVIEWS software to predict the air temperature of Anshan with the data of mean daily temperature during the period of 2003-2007 in Anshan. ARMA prediction model is established and relevant predictions are given through non-stationary time series stationizing, model identification,model order determination, model parameter estimation by least square method, adaptability test of model.

关键词： mean daily temperature ARMA model non-stationary time series temperature prediction

作者: Fengmei Tao Xiuhui Dong Lili Meng

作者单位: Department of Mathematics, Anshan Normal University, Anshan, Liaoning 114007, P. R. China; Departmen Anshan Weather Bureau, Anshan, Liaoning 114007, China Department of Mathematics, Anshan Normal University, Anshan, Liaoning 114007, P. R. China

会议类型: 国际会议

会议名称: 中国数学会生物数学分会第六届学术年会

会议地点: 山东泰安

会议语种:英文

页码: 143-147

在线出版日期: 2008-07-25（万方平台首次上网日期，不代表论文的发表时间）