محمدپور،ع و خدادادی،ا . ۱۳۹۱. تحلیل فراوانی سیل سه متغیره با استفاده از تابع مفصل خانواده برآورد Plackett، برآورد پارامترها با استفاده از الگوریتم ژنتیک GA. نهمین کنگره بین المللی مهندسی عمران، دانشگاه صنعتی اصفهان. اردیبهشت ماه 19-۲1.
عباسیان،م.، موسوی ندوشنی،س،س. ۱۳۹۳. تحلیل فراوانی چند متغیره سیلاب با استفاده از تابع مفصل و توزیعهای حاشیهای پارامتری و ناپارامتری ،مجله علمی-پژوهشی عمران مدرس. ۴.۱۴ : 92-81
Aas,K., Czado,C., Frigessi.,A and Bakken,H. 2009. Pair-copula constructions of multiple dependence. Insurance: Mathematics and Economics. 44: 182–198.
Bedford,T and Cooke,R. 2001. Probability density decomposition for conditionally dependent random variables modeled by vines, Annals of Mathematics and Artificial Intelligence. 32.1: 245–268.
Bedford,T., Cooke, R. 2002. Vines – A new graphical model for dependent random variables, Annals of Statistics. 30.4: 1031–1068.
Brechmann, E.C., Czado, C and Aas, K. 2012. Truncated regular vines in high dimensions with applications to financial data. Canadian Journal of Statistics. 40.1: 68-85.
De Michele, C., Salvadori, G. 2003. A generalized Pareto intensity-duration model of storm rainfall exploiting 2-copulas. Journal of Geophysical Research. 108: 15-27
De Michele, C., Salvadori, G., Passoni, G and Vezzoli, R. 2007. A multivariate model of sea storms using copulas, Coastal Engineering. 54.10: 734–751.
Genest, C., Favre, A., Beliveau, J., and Jacques, C. (2007), Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data, Water Resour. Res.43, W09401, doi:10.1029/2006WR00527.
Genest, C., Rivest, L.-P., (1993), Statistical inference procedures for bivariate Archimedean copulas. Journal of the American Statistical Association. 88, 1034–1043.
Gräler, B., van den Berg, M.J., Vandenberghe, S., Petroselli, A., Grimaldi, S., De Baets, B and Verhoest,N.E.C. 2013. Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation, Hydrology and Earth System Sciences. 17.4: 1281-1296
Grimaldi, S, Serinaldi, F. 2006. Asymmetric copula in multivariate flood frequency analysis. Advances in Water Resources. 29.8,1115–1167.
Gyasi-Agyei, Y., Melching, C. 2012. Modelling the dependence and internal structure of storm evens for continuous rainfall simulation, Journal of Hydrology. 464-465: 249–261.
Joe, H. 1996. Families of m-variate distributions with given margins and m(m-1)/2 bivariate dependence parameters. In L. Rueschendorf, B. Schweizer, M and Taylor, D (Eds.). Distributions with fixed marginal sand related topics ,pp. 120-141. Hayward: In statute of Mathematical Statistics.
Kao, S., Govindaraju, R. 2008. Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas, Water Resources Researches. 44. 2, 1-19.
Kao, S.C., Govindaraju, R.S. 2010. A copula-based joint deficit index for droughts. Journal of Hydrology. 380.1–2, 121–134.
Karmakar, S and Simonovic, S.P. 2009. Bivariate flood frequency analysis. Part 2: a copula-based approach with mixed marginal distributions. Journal of Flood Risk Management. 2.1:32–44.
Kurowicka, D., Cooke, R. 2007. Sampling algorithms for generating joint uniform distributions using the vine-copula method. Computational Statistics & Data Analysis. 51: 2889–2906.
Mirabbasi, R., Fakheri-Fard, A and Dinpashoh, Y. 2012. Bivariate drought frequency analysis using the copula method. Theoretical and Applied Climatology. 108: 191–206.
Salvadori, G., De Michele, C. 2004. Analytical calculation of storm volume statistics involving Pareto-like intensity duration marginals, Geophys. Geophysical Research Letters. 31.4:1-4
Salvadori, G., De Michele, C. 2006. Statistical characterization of temporal structure of storms, Advances in Water Resources. 29: 827–842.
Serinaldi, F and Grimaldi, S. 2007. Fully nested 3-copula: procedure and application on hydrological data. Journal of Hydrologic Engineering (ASCE). 12: 420–430.
Singh, V.P., Zhang, L. 2007. IDF curves using the Frank Archimedean copula. Journal of Hydrologic Engineering (ASCE) 12: 651–662.
Sklar, A. 1959. Fonction de re’partition a’ n dimensions et leurs marges, vol. 8. Publications de L’Institute de Statistique, Universite’ de Paris: Paris; 229–231.
Sloto, R.A., Crouse, M.Y. 1996. HYSEP: A computer program for streamflow hydrograph separation and analysis. U.S. Geological Survey, Water-Resources Investigations, Report 96-4040, Pennsylvania, 46 p.
Song, S., Singh, V. 2010. Meta-elliptical copulas for drought frequency analysis of periodic hydrologic data, Stochastic Environmental Research and Risk Assessment. 24: 425–444.
Sraj, M, Bezak, N. Brilly, M. 2015. Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River. Hydrological Processes 29: 225–238.
Vernieuwe, H., Vandenberghe, S., De Baets, B., Verhoest, N.E.C.2015. A continuous rainfall model based on vine copulas. Hydrology and Earth System Sciences 19.6:2685–2699
Zhang, L., Singh,V.P. 2006. Bivariate flood frequency analysis using copula method. Journal of Hydrologic Engineering (ASCE 11.2: 150–164.
Zhang, L,. Singh V.P. 2007a. Trivariate flood frequency analysis using the Gumbel–Hougaard copula, Journal of Hydrologic Engineering (ASCE, ASCE 12.4: 431–439.
Zhang, L, Singh, V.P 2007b. Gumbel-Hougaard copula for trivariate rainfall frequency analysis. Journal of Hydrologic Engineering (ASCE. 12.4:409–419.