Advances in Pure Mathematics
Vol.8 No.10(2018), Paper ID 88053, 20
pages
DOI:10.4236/apm.2018.810049
Comparison of Different Regularized and Shrinkage Regression Methods to Predict Daily Tropospheric Ozone Concentration in the Grand Casablanca Area
Halima Oufdou, Lise Bellanger, Amal Bergam, Angélina El Ghaziri, Kenza Khomsi, El Mostafa Qannari
Laboratory MAE2D, University of Abdelmalek Essaadi, Larache, Morocco
Laboratory of Mathematics Jean Leray UMR CNRS 6629, University of Nantes, Nantes, France
Laboratory MAE2D, University of Abdelmalek Essaadi, Larache, Morocco
Maison des Sciences de l’Homme Ange Guépin USR 3491, University of Nantes, Nantes, France
National Meteorological Office, Casablanca, Morocco
StatSC, ONIRIS, INRA, Nantes, France
Copyright © 2018 Halima Oufdou, Lise Bellanger, Amal Bergam, Angélina El Ghaziri, Kenza Khomsi, El Mostafa Qannari et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Oufdou, H. , Bellanger, L. , Bergam, A. , El Ghaziri, A. , Khomsi, K. and Qannari, E. (2018) Comparison of Different Regularized and Shrinkage Regression Methods to Predict Daily Tropospheric Ozone Concentration in the Grand Casablanca Area.
Advances in Pure Mathematics,
8, 793-812. doi:
10.4236/apm.2018.810049.