Abstract
Certain bivariate densities constructed from marginals have recently been suggested as models of hydrologic variates such as rainfall intensity and depth. It is pointed out that (i) these densities belong to the families of the Farlie-Gumbel-Morgenstern densities and the Farlie polynomial densities, which have been extensively studied in the statistical literature, and that (ii) these densities have a limited potential applicability in hydrology since they can model only weakly associated variates, whose product-moment correlationR is within the range |R|≤1/3, under the first family of densities, and |R|≤1/2 under the second family.
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References
Choulakian, V.; El-Jabi, N.; Moussi, J. 1990: On the distribution of flood volume in partial duration series analysis of flood phenomena. Stochastic Hydrology and Hydraulics 4, 217–226
Farlie, D. J. G. 1960: The performance of some correlation coefficients for a general bivariate distribution. Biometrika 47 (3), 307–323
Gumbel, E. J. 1958: Distributions á plusieurs variables dont les marges sont données (with remarks by Fréchet, M.). Comptes Rendus de l'Académie des Science, Paris, 246, 2717–2720
Gumbel, E. J. 1960a: Bivariate exponential distributions. Journal of the American Statistical Association 55, 698–707
Gumbel, E. J. 1960b: Multivariate distributions with given margins and analytical examples. Bulletin de l'Institut International de Statistique, Bruxelless 37 (3), 1–13
Haight, F. A. 1961: Index to the distributions of mathematical statistics. Journal of Research of the National Bureau of Standards 65B (1), 23–60
Kotz, S. 1975: Multivariate distributions at a cross road. In Patil, G. P.; Kotz, S.; Ord, J. K. (eds) Statistical distributions in scientific work 1, pp. 247–270, D. Reidel Publishing Company, Dordrecht, Holland
Kotz, S.; Johnson, N. 1977: Propriétés de dépendance des distributions itérées, généralisées á deux variables Farlie-Gumbel-Morgenstern. Comptes Rendus de l'Académie des Science, Paris, 285 (4), 277–280
Long, D.; Krzysztofowicz, R. 1991: A family of multivariate densities constructed from marginals. Working Paper, Department of Systems Engineering, University of Virginia, Charlottesville, June
Mardia, K. V. 1970: Families of bivariate distributions. Hafner Publishing Company, Darien, Connecticut
Marshall, A. W.; Olkin, I. 1967: A multivariate exponential distribution. Journal of the American Statistical Association 62, 30–44
Marshall, A. W.; Olkin, I. 1988: Families of multivariate distributions. Journal of the American Statistical Association 83 (403), 834–841
Morgenstern, D. 1956: Einfache beispiele zweidimensionaler verteilungen. Mitteilungeblatt für mathematische statistik, Würzburg, 8 (3), 234–235
Plackett, R. L. 1965: A class of bivariate distributions. Journal of the American Statistical Association 60, 516–522
Rosbjerg, D. 1987: On the annual maximum distribution in dependent partial duration series. Stochastic Hydrology and Hydraulics 1, 3–16
Schucany, W. R.; Parr, W. C.; Boyer, J. E. 1978: Correlation structure in Farlie-Gumbel-Morgenstern distributions. Biometrika 65 (3), 650–653
Singh, K.; Singh, V. P. 1991: Derivation of bivariate probability density functions with exponential marginals. Stochastic Hydrology and Hydraulics 5 (1), 55–68
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Long, D., Krzysztofowicz, R. Farlie-Gumbel-Morgenstern bivariate densities: Are they applicable in hydrology?. Stochastic Hydrol Hydraul 6, 47–54 (1992). https://doi.org/10.1007/BF01581674
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DOI: https://doi.org/10.1007/BF01581674