Geostatistical Framework for Estimating Dependence of Multivariate Structures

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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Publication Details

Journal
Contemporary Mathematics
Published
2024-08-20
DOI
https://doi.org/10.37256/cm.5320242843
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Geostatistical Framework for Estimating Dependence of Multivariate Structures

Diakarya Barro, Saley Bisso, Alex Félix Sanogo
Contemporary Mathematics
Soil Geostatistics and Mapping
article

Geostatistical Framework for Estimating Dependence of Multivariate Structures

Diakarya Barro, Saley Bisso, Alex Félix Sanogo
article en

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.

Contemporary Mathematics
Université Joseph Ki-Zerbo (BF), Université Abdou Moumouni (NE)
Openalex Percentile: Top 88%
Soil Geostatistics and Mapping
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