【摘要】 通过计量经济学分析研究使得PM2.5值达到最低的影响因素最优组合方案。以SAS方程拟合与正交试验设计的理论方法为工具,选择PM2.5为研究对象,先用SAS拟合方程,并检验序列相关性、多重共线性以证明所拟合方程的可用性。再用正交试验设计的直观分析法确定因素水平的最优组合方案,通过用正交试验设计的方差分析法讨论因素的显著性,以确定最优组合即让PM2.5的值达到最低。更多还原

【Abstract】 This paper studies the factors optimal combination scheme to makes the PM2.5 value reaches the minimum through econometric analysis.The text select SAS equation fitting and orthogonal design as the theoretical methods,and select PM2.5 for the study.Firstly,we give the fitting equation by SAS,then we test the serial correlation and multicollinearity to prove the availability of the fitting equation.Next,orthogonal design intuitive analysis method will be used to determine the optimal factor level combination scheme.We determine the selected combinations of factors which will keep PM2.5 reaches a minimum value by discussing the significance of factors via orthogonal experimental design analysis.更多还原