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Jongbloed, G. and Koole, G. (2014) Managing Uncertainty in Call Centres Using Poisson Mixtures, Applied Stochastic Models in Business and Industry, 17, 307-318.
https://doi.org/10.1002/asmb.444

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.