Document quand l'auteur est "Durocher, Martin"

Durocher, Martin; Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 et Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X (2016). Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression. Hydrology and Earth System Sciences , vol. 20 , nº 12. pp. 4717-4729. DOI: 10.5194/hess-20-4717-2016.

Durocher, Martin; Lee, Taesam; Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X et Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 (2016). Hybrid signal detection approach for hydro-meteorological variables combining EMD and cross-wavelet analysis. International Journal of Climatology , vol. 36 , nº 4. pp. 1600-1613. DOI: 10.1002/joc.4444.

Durocher, Martin; Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 et Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X (2016). On the prediction of extreme flood quantiles at ungauged locations with spatial copula. Journal of Hydrology , vol. 533 . pp. 523-532. DOI: 10.1016/j.jhydrol.2015.12.029.

Durocher, Martin; Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 et Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X (2015). A Nonlinear Approach to Regional Flood Frequency Analysis Using Projection Pursuit Regression. Journal of Hydrometeorology , vol. 16 , nº 4. pp. 1561-1574. DOI: 10.1175/JHM-D-14-0227.1.

Durocher, Martin (2015). Approches statistiques pour la prédiction de variables hydrologiques extrêmes à des sites non jaugés en l'absence d'hypothèses de linéarité et normalité. Thèse. Québec, Université du Québec, Institut national de la recherche scientifique, Doctorat en sciences de l'eau, 228 p.

Durocher, Martin; Chebana, Fateh et Ouarda, Taha B. M. J. (2014). Adopting spatial copula framework in regional frequency analysis. In: 5th STAHY international workshop, 10-11 novembre 2014, Abu Dhabi, Émirats Arabes Unis.

Durocher, Martin; Chebana, Fateh et Ouarda, Taha B. M. J. (2014). Improving prediction at ungauged basins with spatial copula framework. In: CRM-CANSSI Workshop on New Horizons in Copula Modeling, 15-18 décembre 2014, Montréal, Canada.