Extreme Values Approach in Food Risk Modeling
Extreme Values Approach in Food Risk Modeling作者机构:Université Thomas Sankara Ouagadougou Burkina Faso
出 版 物:《Open Journal of Statistics》 (统计学期刊(英文))
年 卷 期:2022年第12卷第5期
页 面:691-710页
学科分类:07[理学] 0701[理学-数学] 070101[理学-基础数学]
主 题:Extreme Values Tail Dioxin Dietary Risk Incubation Period
摘 要: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.