PM2.5影响因素的主成分回归分析与预测  

Analyzing and Forecasting the Influence Factor of PM2.5 Based on Principal Component Regression

作　　者：王翠云[1] 胡学平[1] 相旭东 

机构地区：[1]安庆师范学院数学与计算科学学院,安徽安庆246133

出　　处：《安庆师范学院学报（自然科学版）》2015年第4期24-27,共4页Journal of Anqing Teachers College(Natural Science Edition)

基　　金：安徽省高校自然科学基金重点项目(KJ2013A179)

摘　　要：应用主成分分析和多元回归分析法对空气质量指数(AQI)进行分析,首先对数据进行Alpha可靠性分析、主成分分析得到两个主成分变量,进而对它们和PM2.5浓度进行多元回归分析,并且进行显著性检验,发现PM2.5与这两个主成分变量具有线性回归关系,最终得到一个1-α的置信区间,从而结合实际提出一些降低PM2.5浓度的对策。By investigating the AQI data with Principal component analysis and Multivariate regression analysis,We get two kinds of statistical extrapolate and analysis results regarding the value of PM2. 5. First,by means of Alpha reliability analysis and principal component analysis,we get two principal components. Then we analyze them and PM2. 5 by multivariate regression analysis and we give it a test of significance. The testing provides strong evidence to suggest that there is indeed a significant linear regression correlation between them. A confidence interval about the value of PM2. 5 is obstained. Some methods to reduce the PM2. 5 can be put forward.

关 键 词：PM2.5 Alpha可靠性分析 主成分分析 多元回归分析 

分 类 号：F126.1[经济管理—世界经济]