Statistical Modeling of Spatial Extremes through Max-Stable Process Models: Application to Extreme Rainfall Events in South Africa-Reference-Cited by-同舟云学术

Statistical Modeling of Spatial Extremes through Max-Stable Process Models: Application to Extreme Rainfall Events in South Africa

Published:2021-10 Issue:10 Volume:26 Page:05021028
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Diriba Tadele Akeba¹^ORCID,Debusho Legesse Kassa²

Affiliation:

1. Dept. of Statistics, Univ. of South Africa, c/o Christiaan de Wet Rd. & Pioneer Ave., Johannesburg, Florida 1710, South Africa (corresponding author). ORCID: .

2. Professor, Dept. of Statistics, Univ. of South Africa, c/o Christiaan de Wet Rd. & Pioneer Ave., Johannesburg, Florida 1710, South Africa.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0002123

Reference45 articles.

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3. Statistics of Extremes

4. Spatial distribution of temporal precipitation contrasts in South Africa;Botai C.;S. Afr. J. Sci.,2018

5. Extreme values of independent stochastic processes

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