Discussion of “Importance of Tail Dependence in Bivariate Frequency Analysis” by Annie Poulin, David Huard, Anne-Catherine Favre, and Stéphane Pugin
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VIEW THE ORIGINAL ARTICLEPublication: Journal of Hydrologic Engineering
Volume 13, Issue 12
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Acknowledgments
The Centre for Automotive Safety Research receives core funding from the Department for Transport, Energy and Infrastructure (South Australia) and the Motor Accident Commission (South Australia). The views expressed are those of the author and do not necessarily represent those of the University of Adelaide or the sponsoring organizations.
References
Hutchinson, T. P. (1992). “In the multifactorial model of disease transmission, why is the rank correlation sensitive to choice of bivariate distribution?” Ann. Hum. Genet., 56(6), 159–161.
Moran, P. A. P. (1970). “The methodology of rain-making experiments.” Rev. Int. Statistical Inst., 38(1), 105–115.
Poulin, A., Huard, D., Favre, A.-C., and Pugin, S. (2007). “Importance of tail dependence in bivariate frequency analysis.” J. Hydrol. Eng., 12(4), 394–403.
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Published In
Journal of Hydrologic Engineering
Volume 13 • Issue 12 • December 2008
Pages: 1202
Copyright
© 2008 ASCE.
History
Received: Oct 31, 2007
Accepted: Nov 19, 2007
Published online: Dec 1, 2008
Published in print: Dec 2008
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Authors
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T. P. Hutchinson
Sr. Res. Fellow, Centre for Automotive Safety Res., Univ. of Adelaide, Adelaide, South Australia 5005, Australia.
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