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.
References
[1]
Lauer, S.A., Grantz, K.H., Bi, Q.F., Jones, F.K., Zheng, Q.L., Meredith, H.R., Azman, A.S., Reich, N.G. and Lessler, J. (2020) The Incubation Period of Coronavirus Disease 2019 (COVID-19) from Publicly Reported Confirmed Cases: Estimation and Application. Annals of Internal Medicine, 172, 577-582.
https://doi.org/10.7326/M20-0504
[2]
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
[3]
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
[4]
Diakarya, B., Blami, K. and Moussa, S. (2012) Spatial Stochastic Framework for Sampling Time Parametric Max-Stable Processes. International Journal of Statistics and Probability, 1, 203. https://doi.org/10.5539/ijsp.v1n2p203
[5]
Nguyen, T.-H., El Outayek, S., Lim, S.H. and Nguyen, V.T.V. (2017) A Systematic Approach to Selecting the Best Probability Models for Annual Maximum Rainfalls—A Case Study Using Data in Ontario (Canada). Journal of Hydrology, 553, 49-58. https://doi.org/10.1016/j.jhydrol.2017.07.052
[6]
Diamoutene, A., Kamsu-Foguem, B., Noureddine, F. and Barro, D. (2018) Prediction of U.S. General Aviation Fatalities from Extreme Value Approach. Transportation Research Part A: Policy and Practice, 109, 65-75.
https://doi.org/10.1016/j.tra.2018.01.022
[7]
Konfe, B.O., Cherruault, Y., Some, B. and Benneouala, T. (2005) Alienor Method Applied to Operational Research. Kybernetes, 34, 1211-1222.
https://doi.org/10.1108/03684920510605984
[8]
Adedje, K.E. and Barro, D. (2022) A Stochastic Approach to Modeling Food Pattern. International Journal of Mathematics and Mathematical Sciences, 2022, Article ID: 9011873. https://doi.org/10.1155/2022/9011873
[9]
Velázquez, J.C., Van Der Weide, J.A.M, Hernández, E. and Hernández, H.H. (2014) Statistical Modelling of Pitting Corrosion: Extrapolation of the Maximum Pit Depth-Growth. International Journal of Electrochemical Science, 9, 4129-4143.
http://www.electrochemsci.org/papers/vol9/90804129.pdf
[10]
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
[11]
Barro, D., Diallo, M. and Bagré, R.G. (2016) Spatial Tail Dependence and Survival Stability in a Class of Archimedean Copulas. International Journal of Mathematics and Mathematical Sciences, 2016, Article ID: 8927248.
https://doi.org/10.1155/2016/8927248