Geostatistical Framework for Estimating Dependence of Multivariate Structures

Authors

  • Alex Félix Sanogo Laboratory of Numerical Analysis, Computer Science and Biomathematics (LANIBIO), University Joseph Ki-Zerbo, BP 7021, Ouagadougou 03, Burkina Faso
  • Barro Diakarya Training and Research Units of the Faculty of Economics and Management, Thomas Sankara University, BP 417, Ouagadougou 12, Burkina Faso https://orcid.org/0000-0003-3311-3645
  • Bisso Saley Faculty of Mathematics and computer sciences, Abdou Moumouni University, Niamey, Niger

DOI:

https://doi.org/10.37256/cm.5320242843

Keywords:

max stable processes, variogram, extreme values, spatial dependence, copulas

Abstract

Geostatistics is a subdomain of statistics that deals with phenomena which have spatial or spatiotemporal distribution. This paper proposes an extension of properties of the multivariate F-alpha variogram within a spatial framework and in a max-stable random field with unit Fréchet margins. We use the copula associated with the distribution of the fields to model the multivariate F-alpha variogram while important properties of this dependence measure are discussed for spatial extreme events. The hypothesis of normality and the consistency of two non-natural estimators are investigated.

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Published

2024-08-20

How to Cite

1.
Sanogo AF, Diakarya B, Saley B. Geostatistical Framework for Estimating Dependence of Multivariate Structures. Contemp. Math. [Internet]. 2024 Aug. 20 [cited 2024 Oct. 16];5(3):3413-25. Available from: https://ojs.wiserpub.com/index.php/CM/article/view/2843