摘要
采用2014年1月到2017年12月曲靖市环境空气质量综合指数月度数据,应用R软件,通过对数据序列进行白噪声、平稳性、自相关和偏相关性的分析,建立曲靖市空气质量预测SARMA模型,检验了模型的显著性,进行了6期预测分析.研究结果表明,模型的拟合值与真实值之间误差非常小,曲靖市AQI序列在未来一段时间内呈递减趋势.
Based on the monthly data of ambient air quality index of Qujing from January 2014 to December2017,this paper analyzes the white noise,stationarity,autocorrelation and partial correlation of data series by using R software,and establishes the SARMA model,the air quality prediction model of Qujing. The significance of the model has been tested. And this paper has conducted a six-period forecasting analysis. The research results show that the error between the fitted value and the real value of the model is very small,and the AQI sequence in Qujing shows a decreasing trend in the future.
作者
王坤
阮金梅
邓妮
Wang Kun;Ruan Jinmei;Deng Ni(School of Mathematics and Statistics,Qujing Nomal University,Qujing Yunnan 655011,China)
出处
《曲靖师范学院学报》
2018年第3期25-29,共5页
Journal of Qujing Normal University
基金
云南省教育厅科学研究基金项目"基于时间序列的证券交易套利理论研究"(2015C087Y)
云南省教育厅科学研究基金项目"移动极值排序集样本下Pareto分布的Bayes估计"(2017ZDX149)
曲靖师范学院校级优质课课程建设项目"统计学"(YZKC2016012)