摘要
利用统计软件Eviews3.1对四川省宜宾市2004年7月1日到8月31日的PM10浓度时间序列数据进行了分析,建立时间序列模型,并对PM10浓度进行预测。结果表明,预测模型精度较高,残差最大值小于10%,预测结果与实际状况基本相符。
The PM10 time-series datas of Yibin city,Sichuan Province from July 1,2004 to October 31,using Eviews3.1 author analyzes.ARMA model is establisted and PM10 Concentration is predicted.The result shows that the model has a good prediction effect. Maximum residual is less than 10%. Predictions are consistent with the actual situation of the basic.
出处
《科学技术与工程》
2010年第9期2260-2262,2266,共4页
Science Technology and Engineering
