Prediction and Analysis on Temperature Change Trend of Anshan Area

机译：鞍山地区温度变化趋势预测与分析

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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.

机译：在时间序列分析的基础上，运用时间序列自回归移动平均（ARMA）预测模型和EVIEWS软件，利用鞍山2003-2007年的日平均气温数据对鞍山的气温进行了预测。建立了ARMA预测模型，并通过非平稳时间序列平稳，模型识别，模型阶次确定，最小二乘法估计模型参数，对模型进行适应性测试，给出了相关的预测。

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来源
《The World Advances in ELID-Grinding Technologies: Trends on High Efficiency and Essential Processing》|2008年|143-147|共5页
会议地点 Changsha(CN)
作者
M.Haan; rnJ.Russell; rnD.Bear; rnD.Morrical;
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作者单位

Fengmei Tao@Department of Mathematics, Anshan Normal University, Anshan, Liaoning 114007, P. R. China;

Department of Mathematics, Dalian University of Technology Dalian, Liaoning 116024, P. R. China--Xiuhui Dong@Anshan Weather Bureau, Anshan, Liaoning 114007, China--Lili Meng@Department of Mathematics, Anshan Normal University, Anshan, Liaoning 114007, P. R. China--;

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中图分类 TTB30;
关键词
mean daily temperature; ARMA model; non-stationary time series; temperature prediction.;

机译：平均每日温度； ARMA模型；非平稳时间序列；温度预测。;

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Prediction and Analysis on Temperature Change Trend of Anshan Area

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