1- Abdolhosseini, M., 2012. Application of Copula in Multivariate Frequency Analysis of Low-Flows and Assessment of Copula-Based Regression for Analysis of Non-Independent Variables. PhD Dissertation. Department of Water Engineering Isfahan University of Technology. (In Persian).
2- Akaike, H., 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), pp. 716-722.
3- Bahremand, A., Alvandi, E., Bahrami, M., Dashti Marvili, M., Heravi, H., Khosravi, Gh.R., Kornejady, A., Samadi Arghini, H., Tajiki M. and Teimouri M., 2015.Copula functions and their application in stochastic hydrology. Journal of Conservation and Utilization of Natural Resources, 4(2), 1-20. (In Persian).
4- Cherubini, U., Luciano, E. and Vecchiato, W., 2004, Copula Methods in Finance. John Wiley & Sons Ltd, England.
5- De Michele, C., Salvadori, G., Canossi, M., Petaccia, A. andRosso, R., 2005. Bivariate statistical approach to check adequacy of dam spillway. ASCE. Journal of Hydrologic Engineering, 10(1), pp. 50-57.
6- De Michele, C. and Salvadori, G., 2003. A generalized Pareto intensity-duration model of storm rainfall exploiting copulas. Journal of Geophysical Research: Atmospheres, 108(D2), pp. 1-11.
7- Demarta, S. and McNeil, A.J., 2005. The t copula and related copulas. International Statistical Review, 73(1), pp. 111-129.
8- Favre, A.C., ElAdlouni, S., Perreault, L., Thiemonge, N. and Bobee, B., 2004. Multivariate hydrological ferequency analysis using copulas. Water Resource Research, 40(1), W01101, pp. 1-12.
9- Grimaldi, S. and Serinaldi, F., 2006. Asymmetric copula in multivariate flood frequency analysis. Advances in Water Resources, 29(8), pp. 1155-1167.
10- Hosking, J.R.M., and Wallis, J.R., 1993. Some statistical useful in regional frequency analysis. Water Resources Research, 29(2), pp. 271-281.
11- Joe, H., 1997. Multivariate models and dependence concepts. Chapman and Hall, London.
12- Klein, B., Pahlow, M., Hundecha, Y. and Schumann, A., 2010. Probability analysis of hydrological loads for the design of flood control systems using copulas. Journal of Hydrologic Engineering, 15(5), pp. 360-369.
13- Kojadinovich, I. and Yan, J. 2009. Package ‘copula’. Version 0.9-7, May 28, 2010. Available in: http://cran.r-project.org/web/packages/copula/coupla.pdf.
14- Mahdavi,M., 2011. Applied Hydrology (Vol. 2). University of Tehran press, Tehran. Iran. (In Persian).
15- Mediero, L., Jimenez-Alvarez, A. and Garrote, L., 2010. Design flood hydrograph from the relationship between flood peak and volume. Hydrology and Earth System Sciences, 14(12). pp. 2495-2505.
17- Nelsen, R., 2006. An introduction to copulas. Springer, New York, second edition. Lecture notes in statistics.
18- Requena, A., Mediero, I. and Garrote, L., 2013. A bivariate return period based on copulas for hydrologic dam design: accounting for reservoir routing in risk estimation. Hydrology and Earth System Sciences, 17(8), pp. 3023-3038.
19- Salvadori, G. and De Michele C., 2007. On the use of copulas in hydrology: Theory and practice. Journal of Hydrologic Engineering, 12(4), pp. 369-380.
21- Shiau, J., Feng, T. and Nadarajah, S., 2007. Assessment of hydrological droughts for the Yellow River, China, using copulas. Hydrological Processes, 21(16), pp. 2157-2163.
22- Shiau, J., Wang, H. and Tsai, C., 2006. Bivariate frequency analysis of flood using COPULAS1. Jawra Journal of the American Water Resources Association, 42(6), pp. 1549-1564.
23- Sklar, A., 1959. Fonction de répartition à n dimensions et leurs marges. [Distribution functions, dimensions and margins]. Publications of the Institute of Statistics, University of Paris,Paris, pp. 229-231. (In French).
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