Combining multiple regression and principal component analysis for accurate predictions for column ozone in Peninsular Malaysia

Author:

Rajab Jasim M.,MatJafri M.Z.,Lim H.S.

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference39 articles.

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2. Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations;Abdul-Wahaba;Environ. Model. Softw.,2005

3. Combining principal component regression and artificial neural networks for more accurate predictions of ground-level ozone;Al-Alawi;Environ. Model. Softw.,2008

4. Validation of satellite ozone profile retrievals using Beijing ozonesonde data;Bian;J. Geophys. Res.,2007

5. A Discussion of the Spatial and Temporal Variability of Ozone Concentrations along the Front Range of Colorado;Blankinship,1996

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