Prediction and Analysis on Temperature Change Trend of Anshan Area
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.
mean daily temperature ARMA model non-stationary time series temperature prediction.
Fengmei Tao Xiuhui Dong Lili Meng
Department of Mathematics, Anshan Normal University, Anshan, Liaoning 114007, P. R. China;Department Anshan Weather Bureau, Anshan, Liaoning 114007, China Department of Mathematics, Anshan Normal University, Anshan, Liaoning 114007, P. R. China
国际会议
The 1st International ELID-Grinding Conference(第一届镜面磨削技术国际会议)
长沙
英文
143-147
2008-06-12(万方平台首次上网日期,不代表论文的发表时间)