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基于主成分判别分析的全国主要城市空气质量评价
作者单位:;1.平顶山学院数学与统计学院
摘    要:空气质量在国际上已是重点控制对象,利用主成分方法对影响各个城市的空气质量的指标进行分析,得出影响空气质量的主要因素.然后选取主成分进行费希尔(Fisher)判别分析,建立主成分的费希尔判别分析模型,对城市的空气质量进行判别,再利用判别式分别对重庆、成都、昆明、宝鸡4个城市的空气质量类别进行预测.

关 键 词:主成分  费希尔判别  误判率  预测

Air Quality Evaluation of Key Cities in China Based on Principal Component Discriminant Analysis
Institution:,School of Mathematics and Statistics,Pingdingshan University
Abstract:The quality of air quality has been the key control object in the world.The principal component method is used to analyze the indexes that affect the air quality of each city,and the main factors affecting air quality are obtained.Then the principal components are selected for Fisher discriminant analysis,and the Fisher discriminant analysis model of principal components is established to distinguish the air quality of the city,and the air quality categories of Chongqing,Chengdu,Kunming and Baoji are predicted by discriminant.
Keywords:principal component  Fisher discriminant  misjudgment rate  prediction
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