Open Journal of Statistics

Volume 12, Issue 5 (October 2022)

ISSN Print: 2161-718X   ISSN Online: 2161-7198

Google-based Impact Factor: 0.53  Citations  

Extreme Values Approach in Food Risk Modeling

HTML  XML Download Download as PDF (Size: 1275KB)  PP. 691-710  
DOI: 10.4236/ojs.2022.125041    95 Downloads   482 Views  

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.

Share and Cite:

Adedje, K. and Barro, D. (2022) Extreme Values Approach in Food Risk Modeling. Open Journal of Statistics, 12, 691-710. doi: 10.4236/ojs.2022.125041.

Cited by

No relevant information.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.