Modelling Climate Change in a Stochastic Extreme Values Framework

Authors

  • Mathieu Tiene Training and Research Units of the Faculty of Economics and Management, Thomas Sankara University, Burkina Faso
  • Diakarya Barro Training and Research Units of the Faculty of Economics and Management, Thomas Sankara University, Burkina Faso https://orcid.org/0000-0003-3311-3645

DOI:

https://doi.org/10.37256/cm.5420243726

Keywords:

modeling, stochastic process, extreme values, climate change

Abstract

This article presents a contribution to modelling of rainfall hazards in a stochastic framework. The independence of the realizations of a process conditionally on the latent random effect, which also allowing us to calculate the likelihood of the observed annual maxima. We also showed the predominance of the moment estimator over the Hill estimator. Furthernore, we used a stochastic model to provide a temporal framework for modeling extreme events, as well as the evolution of extreme rainfall in west Africa from 2019 to 2169, which shows a significant decrease over the entire range of the different stations.

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Published

2024-11-07

How to Cite

1.
Tiene M, Barro D. Modelling Climate Change in a Stochastic Extreme Values Framework. Contemp. Math. [Internet]. 2024 Nov. 7 [cited 2024 Nov. 17];5(4):4890-907. Available from: https://ojs.wiserpub.com/index.php/CM/article/view/3726