Results 1 to 10 of about 64,674 (254)
TL-moments of the exponentiated generalized extreme value distribution
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
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
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
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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
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
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
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Statistical modelling of extreme rainfall in Peninsular Malaysia [PDF]
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
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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
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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
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evgam: An R Package for Generalized Additive Extreme Value Models
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
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