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Bivariate q- generalized extreme value distribution: A comparative approach with applications to climate related data [PDF]
HeliyonThe premise of extreme value theory focuses on the stochastic behaviour and occurrence of extreme observations in an event that is random. Traditionally for univariate case, the behaviour of the maxima is described either by the types-I, types-II or ...
Laila A. Al-Essa +5 more
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Extending the blended generalized extreme value distribution [PDF]
Discover Civil EngineeringThe 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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Modeling Extreme Rainfall Using the Generalized Extreme Value Distribution and Exceedance Analysis in Colima, Mexico [PDF]
SensorsThis study develops a statistical and technological framework to analyze extreme rainfall in Colima, Mexico, by integrating historical precipitation records, probabilistic modeling, and spatial visualization.
Raúl Renteria +2 more
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On the q-Generalized Extreme Value Distribution
Revstat 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
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A Revised Bimodal Generalized Extreme Value Distribution: Theory and Climate Data Application [PDF]
EntropyThe bimodal generalized extreme value (BGEV) distribution was first introduced in 2023. This distribution offers greater flexibility than the generalized extreme value (GEV) distribution for modeling extreme and heterogeneous (bimodal) events.
Cira E. G. Otiniano +2 more
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Indonesian 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
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TL-moments of the exponentiated generalized extreme value distribution
Journal 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
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Closed form solutions for the generalized extreme value distribution [PDF]
, 2015 This manuscript derives closed form solutions for conditional expectations of order statistics in models that are based on the extreme value and generalized extreme value distributions. Such conditional expectations are of interest in empirical anal-yses when the (identity of the) maximal statistic is observed, but the econometric model also relies on ...
Beckert, Walter, Takahashi, Y.
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Statistical modelling of extreme rainfall in Peninsular Malaysia [PDF]
ITM 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
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e-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
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