Results 1 to 10 of about 64,674 (254)

TL-moments of the exponentiated generalized extreme value distribution

open access: yesJournal of Advanced Research, 2010
TL-moments and LQ-moments of the exponentiated generalized extreme value distribution (EGEV) will be obtained and used to estimate the unknown parameters of the EGEV distribution.
Noura A.T. Abu El-Magd
exaly   +4 more sources

On the q-Generalized Extreme Value Distribution

open access: yesRevstat Statistical Journal, 2018
Asymmetrical models such as the Gumbel, logistic, Weibull and generalized extreme value distributions have been extensively utilized for modeling various random phenomena encountered for instance in the course of certain survival, financial or ...
Serge B. Provost   +3 more
doaj   +3 more sources

Extending the blended generalized extreme value distribution

open access: yesDiscover Civil Engineering
The generalized extreme value (GEV) distribution is commonly employed to help estimate the likelihood of extreme events in many geophysical and other application areas.
Nir Y. Krakauer
doaj   +3 more sources

Error Structure of Metastatistical and Generalized Extreme Value Distributions for Modeling Extreme Rainfall in Austria

open access: yesEarth and Space Science, 2019
Incorrect estimation of extreme values of daily precipitation can have severe consequences in hydrological and engineering applications. Recent advances in the study of extreme precipitation have shown that the Metastatistical Extreme Value Distribution (
Harald Schellander   +2 more
exaly   +2 more sources

Minimum Sample Size Determination for Generalized Extreme Value Distribution

open access: yesCommunications in Statistics Part B: Simulation and Computation, 2010
Sample size determination is an important issue in statistical analysis. Obviously, the larger the sample size is, the better the statistical results we have. However, in many areas such as coastal engineering and environmental sciences, it can be very expensive or even impossible to collect large samples. In this paper, we propose a general method for
Y Cai
exaly   +4 more sources

Extreme Rainfall Modeling through the Lens of Extreme Value Theory: A Case Study of Katsina City, Nigeria

open access: yesUMYU Scientifica Journal, 2023
Climate change has conveyed about strange new weather patterns, among others is changes in rainfall extremes. To make adequate inferences about extreme rainfall, it's important to invest in meteorological research.
Ibrahim Lawal Kane   +2 more
doaj   +1 more source

Statistical modelling of extreme rainfall in Peninsular Malaysia [PDF]

open access: yesITM Web of Conferences, 2021
Flash floods are known as one of the common natural disasters that cost over billions of Ringgit Malaysia throughout history. Academically, an extreme rainfall model is effective in modelling to predict and prevent the occurrence of flash floods.
Tan Wei Lun, Liew Woon Shean, Ling Lloyd
doaj   +1 more source

Generalized Extreme Value Distribution for Modeling Earthquake Risk in Makran Subduction Zone Using Extreme Value Theory

open access: yesIndonesian Journal of Earth Sciences, 2023
The long-term pattern of severe incidents is one of the most crucial and fascinating topics of seismic events. This work aims to analyze the maximum annual earthquake magnitude in the Makran subduction zone using extreme value theory by implementing the
Adil Rehman, Huai Zhang
doaj   +1 more source

CALCULATION OF CLIMATE LOADS DESIGN VALUES ACCORDING TO THE PROBABILITY MODEL OF ANNUAL MAXIMUM SERIES

open access: yese-GFOS, 2021
The aim of this work is to improve a method for determining the characteristic values of climatic loads according to a probabilistic model of the annual maxima sequence, by choosing a rational type of generalized extreme value distribution law.
Mykola Pashynskyi   +2 more
doaj   +1 more source

evgam: An R Package for Generalized Additive Extreme Value Models

open access: yesJournal of Statistical Software, 2022
This article introduces the R package evgam. The package provides functions for fitting extreme value distributions. These include the generalized extreme value and generalized Pareto distributions.
Benjamin D. Youngman
doaj   +1 more source

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