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Autor     Mathieu Ribatet, Taha B.M.J. Ouarda, Eric Sauquet, Jean-Michel Gr´esillon
Titel    Modeling All Exceedances Above a Threshold Using an 1 Extremal Dependence Structure: 2 Inferences on Several Flood Characteristics
Datum    4. Februar 2008
Anmerkung    preprint submitted to: Water Resources Research, published on arXiv.org
URL    http://arxiv.org/pdf/0802.0436.pdf

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Fragmente    1


Fragmente der Quelle:
[1.] Rh/Fragment 090 03 - Diskussion
Zuletzt bearbeitet: 2012-08-11 20:15:01 WiseWoman
Fragment, KeineWertung, Rh, Ribatet et al. 2008, SMWFragment, Schutzlevel, ZuSichten

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Hindemith, WiseWoman
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Untersuchte Arbeit:
Seite: 90, Zeilen: 3-6
Quelle: Ribatet et al. 2008
Seite(n): 4, Zeilen: 16-19
Contrary to the univariate case, there is no finite parametrization for the exponent measure function μ([0, x]c ; θ). Thus, it is common to use specific parametric families for μ([0, x]c ; θ) such as the logistic (Galambos (1978)), the asymmetric logistic (Tawn (1988a)), the negative logistic (Galambos (1975)) or the Polynomial models (Klüppelberg and Mayer (2006)). Contrary to the univariate case, there is no finite parametrization for the V functions. Thus, it is common to use specific parametric families for V such as the logistic [Gumbel, 1960], the asymmetric logistic [Tawn, 1988], the negative logistic [Galambos, 1975] or the asymmetric negative logistic [Joe, 1990] models.
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