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Moncoulon, D. and Quantin, A. (2013) Modélisation des événements extrêmes d’inondation en France métropolitaine. La Houille Blanche, No. 1 , 22-26.
https://doi.org/10.1051/lhb/2013004

has been cited by the following article:

• TITLE: Extreme Values Approach in Food Risk Modeling

  AUTHORS: Komla Elom Adedje, Diakarya Barro

  KEYWORDS: Extreme Values, Tail, Dioxin, Dietary Risk, Incubation Period

  JOURNAL NAME: Open Journal of Statistics, Vol.12 No.5, October 27, 2022

  ABSTRACT: In this paper we estimate the incubation period of a possible pathology following exposure to dioxins during a poor diet. The tools developed for this purpose include the probabilistic extremal model and the stochastic behavior of the distribution tails of the contamination. We propose a cumulative distribution function for a random variable that follows both a Gaussian distribution and a GPD. A global optimization method is also explored for the efficient estimation of parameters of GPD.