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Tressou, J., Crepet, A., Bertail, P., Feinberg, M.H. and Leblanc, J.Ch. (2004) Probabilistic Exposure Assessment to Food Chemicals Based on Extreme Value Theory. Application to Heavy Metals from Fish and Sea Products. Food and Chemical Toxicology, 42, 1349-1358.
https://doi.org/10.1016/j.fct.2004.03.016

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.