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Volumn 15, Issue 5, 2010, Pages 378-379

Discussion of "Fully Nested 3-Copula: Procedure and Application on Hydrological Data" by F. Serinaldi and S. Grimaldi

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EID: 77954007085     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000003     Document Type: Note
Times cited : (1)

References (8)
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    • Hutchinson T.P. Familial association of disease and the structure of trivariate distributions. Ann. Hum. Genet. 1999, 63(6):539-544. ZZZZZZ, 0003-4800, 10.1046/j.1469-1809.1999.6360539.x.
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    • Generation of correlated non-Gaussian random variables from independent components
    • ICA2003 Organizing Committee, NTT Communication Science Laborataories, Kyoto, Japan, <>.
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    • Koehler K.J. Symanowski J.T. Constructing multivariate distributions with specified marginal distributions. J. Multivariate Anal. 1995, 55(2):261-282. JMVAAI, 0047-259X, 10.1006/jmva.1995.1079
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    • Koehler, K.J.1    Symanowski, J.T.2
  • 6
    • 33845589550 scopus 로고    scopus 로고
    • Concordance and copulas: A survey
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    • Nelsen R.B. Concordance and copulas: A survey. Distributions with given marginals and statistical modelling 2002, 169-177. C. M. Cuadras, J. Fortiana, J. A. Rodriguez-Lallena, eds., Kluwer, Dordrecht, The Netherlands, .
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  • 7
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    • On the use of copulas in hydrology: Theory and practice
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    • Salvadori G. De Michele C. On the use of copulas in hydrology: Theory and practice. J. Hydrol. Eng. 2007, 12(4):369-380. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2007)12:4(369)
    • (2007) J. Hydrol. Eng. , vol.12 , Issue.4 , pp. 369-380
    • Salvadori, G.1    De Michele, C.2
  • 8
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    • Fully nested 3-copula: Procedure and application on hydrological data
    • JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2007)12:4(420)
    • Serinaldi F. Grimaldi S. Fully nested 3-copula: Procedure and application on hydrological data. J. Hydrol. Eng. 2007, 12(4):420-430. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2007)12:4(420)
    • (2007) J. Hydrol. Eng. , vol.12 , Issue.4 , pp. 420-430
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.