Comment on regression analysis of air quality data

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 m...

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Bibliographic Details
Published in:Atmospheric environment (1994) 2001-01, Vol.35 (13), p.2423-2425
Main Author: Ayers, G.P.
Format: Article
Language:English
Subjects:
Air quality
Analysis methods
Applied sciences
Atmospheric pollution
Data analysis
Exact sciences and technology
Gravimetric PM10
Pollution
Reduced major axis regression
Regression
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Summary: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.
ISSN:1352-2310
1873-2844
DOI:10.1016/S1352-2310(00)00527-6