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利用回归系数和相关系数优化监测点位
引用本文:符明淳,王宗仁,郭利兵,张海洋.利用回归系数和相关系数优化监测点位[J].河南科学,2008,26(7).
作者姓名:符明淳  王宗仁  郭利兵  张海洋
作者单位:1. 河南质量工程职业学院,河南,平顶山,467000
2. 平顶山市环境监测中心站,河南,平顶山,467000
3. 河南化学研究所,郑州,450002
摘    要:利用回归系数和相关系数以及总均值对监测点位进行优化,不仅能体现所抽取的样本代表总体平均值,使从样本所取得信息的均值和总体保证一致,而且在数据分布方面也能反映总体的面貌.在新城区环境空气监测点位优化方面进行了应用,方法简洁明了,数据处理量较少,得到了比较满意的结果.

关 键 词:回归系数  相关系数  监测点位

Optimization for Monitoring Location Points by Regression Coefficients and Correlation Coefficients
Fu Mingchun,Wang Zongren,Guo Libing,Zhang Haiyang.Optimization for Monitoring Location Points by Regression Coefficients and Correlation Coefficients[J].Henan Science,2008,26(7).
Authors:Fu Mingchun  Wang Zongren  Guo Libing  Zhang Haiyang
Institution:Fu Mingchun1,Wang Zongren2,Guo Libing3,Zhang Haiyang3(1.Henan Quality Engineering Vocational College,Pingdingshan 467000,Henan China,2.The Pingdingshan Environment Monitoring Center,3.Henan Institute of Chemistry,Zhengzhou 450002,China)
Abstract:By use of regression coefficients,correlation coefficients and total mean,monitoring location points were optimazed,it shows that the samples taken from overall can not only reflect total mean,but also reflect the overall in the distribution of data.Optimization for monitoring location points has been applied sucessfully in new urban air environment,the methods have simplicity,less data processing and have been relatively satisfied with the results.
Keywords:regression coefficients  correlation coefficients  monitoring location points  
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