Modeling the Extreme Rainfall Data of Several Sites in Sabah using Sandwich Estimator
When the extreme data were obtained from several sites in a region, spatial extreme analysis is always been considered. In this paper, we model the annual maximum rainfall data by using generalized extreme value distribution. We fit the model independently for each site to prevent extreme value comp...
Main Authors: | Siow Chen Sian, Darmesah Gabda |
---|---|
Format: | Article |
Language: | English |
Published: |
Tamkang University Press
2021-11-01
|
Series: | Journal of Applied Science and Engineering |
Subjects: | |
Online Access: | http://jase.tku.edu.tw/articles/jase-202206-25-3-0007 |
Similar Items
-
Modeling the Extreme Rainfall Data of Several Sites in Sabah using Sandwich Estimator
by: Siow, Chen Sian, et al.
Published: (2021) -
Modelling extreme rainfall events in Kigali city using generalized Pareto distribution
by: Edouard Singirankabo, et al.
Published: (2022-07-01) -
Estimation of Return Levels with Long Return Periods for Extreme Sea Levels by the Average Conditional Exceedance Rate Method
by: Jesper Rydén
Published: (2024-02-01) -
Improving Second Order Reduced Bias Extreme Value Index Estimation
by: M. Ivette Gomes, et al.
Published: (2007-06-01) -
Multiparameter probability distributions for heavy rainfall modeling in extreme southern Brazil
by: Samuel Beskow, et al.
Published: (2015-09-01)