Comment on regression analysis of air quality data

被引：105

作者：

Ayers, GP ^{[1
]}

机构：

[1] CSIRO, Div Atmospher Res, Aspendale, Vic 3195, Australia

来源：

ATMOSPHERIC ENVIRONMENT | 2001年 / 35卷 / 13期

关键词：

air quality; gravimetric PM10; data analysis; regression; reduced major axis regression;

D O I：

10.1016/S1352-2310(00)00527-6

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A simple numerical experiment demonstrates that the reduced major axis regression, rather than standard linear regression, is likely to be the method of choice For the regression analysis of air quality datasets. The case used for illustration is that of determining equivalence of alternative PM10 measurement systems. (C) 2001 Published by Elsevier Science Ltd.

引用

页码：2423 / 2425

页数：3

共 5 条

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[5] Relationships between size segregated mass concentration data and ultrafine particle number concentrations in urban areas
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