Results 31 to 40 of about 492,581 (337)

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
doaj   +1 more source

A Bayesian Hierarchical Spatial Copula Model: An Application to Extreme Temperatures in Extremadura (Spain)

open access: yesAtmosphere, 2021
A Bayesian hierarchical framework with a Gaussian copula and a generalized extreme value (GEV) marginal distribution is proposed for the description of spatial dependencies in data.
J. Agustín García   +3 more
doaj   +1 more source

Improving Probability-Weighted Moment Methods for the Generalized Extreme Value Distribution

open access: yesRevstat Statistical Journal, 2008
In 1985 Hosking et al. estimated with the so-called Probability-Weighted Moments (PWM) method the parameters of the Generalized Extreme Value (GEV) distribution, the latter being classically fitted to maxima of sequences of independent and identically ...
Jean Diebolt   +3 more
doaj   +1 more source

Minimum Sample Size Determination for Generalized Extreme Value Distribution

open access: yesCommunications in Statistics - 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
Cai, Yuzhi, Hames, Dominic
openaire   +3 more sources

Statistical modeling of maximum temperature in Guinea [PDF]

open access: yesAnais da Academia Brasileira de Ciências
A statistical analysis of maximum temperature from twelve weather stations in parts of Guinea is provided. Using maximum likelihood estimation, maximum temperature data was fitted by the Generalized Extreme Value distribution. Data from all of the twelve
MALICK KEBE, SARALEES NADARAJAH
doaj   +1 more source

Statistical Modelling of Extreme Data of Air Pollution in Pekanbaru City

open access: yesInPrime, 2019
Air pollution is a phenomenon that is often discussed, especially regarding air quality in urban areas. This has become a major contributor to health problems and environmental issues in Asian countries, such as Indonesia, especially Riau Province.
Ari Pani Desvina   +2 more
doaj   +1 more source

Spatial Patterns in the Extreme Dependence of Ozone Pollution between Cities in China’s BTH Region

open access: yesAtmosphere, 2023
Ozone pollution in China has become increasingly severe in recent years. Considering the damage that extreme ozone pollution may cause and the fact that the occurrence of extreme ozone pollution among different locations may be related, this paper uses ...
Lu Deng, Siqi Sheng
doaj   +1 more source

Posterior propriety in Bayesian extreme value analyses using reference priors [PDF]

open access: yes, 2015
The Generalized Pareto (GP) and Generalized extreme value (GEV) distributions play an important role in extreme value analyses, as models for threshold excesses and block maxima respectively. For each of these distributions we consider Bayesian inference
Attalides, Nicolas, Northrop, Paul J.
core   +2 more sources

On the maximum likelihood estimator for the Generalized Extreme-Value distribution [PDF]

open access: yesExtremes, 2017
The vanilla method in univariate extreme-value theory consists of fitting the three-parameter Generalized Extreme-Value (GEV) distribution to a sample of block maxima. Despite claims to the contrary, the asymptotic normality of the maximum likelihood estimator has never been established.
Buecher, Axel, Segers, Johan
openaire   +6 more sources

Evaluation of the best fit distribution for partial duration series of daily rainfall in Madinah, western Saudi Arabia [PDF]

open access: yesProceedings of the International Association of Hydrological Sciences, 2014
Rainfall frequency analysis is an essential tool for the design of water related infrastructure. It can be used to predict future flood magnitudes for a given magnitude and frequency of extreme rainfall events.
F. Alahmadi   +4 more
doaj   +1 more source

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