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extRemes 2.0: An Extreme Value Analysis Package in R
Journal of Statistical Software, 2016 This article describes the extreme value analysis (EVA) R package extRemes version 2.0, which is completely redesigned from previous versions. The functions primarily provide utilities for implementing univariate EVA, with a focus on weather and climate ...
Eric Gilleland, Richard W. Katz
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Extreme Value Analysis for Mixture Models with Heavy-Tailed Impurity
Mathematics, 2021 This paper deals with the extreme value analysis for the triangular arrays which appear when some parameters of the mixture model vary as the number of observations grows.
Ekaterina Morozova, Vladimir Panov
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Accounting for choice of measurement scale in extreme value modeling [PDF]
, 2010 We investigate the effect that the choice of measurement scale has upon inference and extrapolation in extreme value analysis. Separate analyses of variables from a single process on scales which are linked by a nonlinear transformation may lead to ...
Jonathan, Philip +2 more
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The probability of unprecedented high rainfall in wine regions of northern Portugal
Climate Services, 2023 Climate is arguably one of the most important factors determining the quality of wine from any given grapevine variety. This study focuses on three wine-growing regions in northern Portugal: Vinho Verde, Trás-os-Montes and Douro, the latter coinciding ...
Michael G. Sanderson +4 more
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Bayesian extreme value analysis of extreme sea levels along the German Baltic coast using historical information [PDF]
Natural Hazards and Earth System Sciences, 2023 Developed coastlines require considerable investments into coastal protection measures to mitigate the effects of flooding caused by extreme sea levels (ESLs).
L. R. MacPherson +4 more
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An improved method of extreme value analysis
Journal of Hydrology X, 2019 An improved method to estimate the probability of extreme events from independent observations is presented. The method, called VWLS, is based on minimizing the variance of order-ranked observations plotted according to their true probability and ...
Lasse Makkonen, Maria Tikanmäki
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The Global Wind Resource Observed by Scatterometer
Remote Sensing, 2020 A 27-year-long calibrated multi-mission scatterometer data set is used to determine the global basin-scale and near-coastal wind resource. In addition to mean and percentile values, the analysis also determines the global values of both 50- and 100-year ...
Ian R. Young +2 more
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Extreme Value Chart & Analysis of MeansBased on Linear Failure Rate Distribution [PDF]
Journal of Sciences, Islamic Republic of Iran, 2022 The Probability model of a quality characteristic is assumed to follow the linear failure rate distribution. Control charts based on the extreme values of each subgroup are constructed.
SRINIVASA BOYAPATI +2 more
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On Extreme Value Analysis of a Spatial Process
Revstat Statistical Journal, 2008 One common way to deal with extreme value analysis in spatial statistics is by using the max-stable process. By employing a representation of simple max-stable processes in de Haan and Ferreira ([3]), we propose a stationary max-stable process as a ...
Laurens de Haan , Chen Zhou
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Journal of Marine Science and EngineeringExtreme sea levels along the Mexican coasts pose an increasing risk to coastal infrastructure and communities, particularly under the combined influence of tropical cyclones and ongoing sea-level rise.
Felícitas Calderón-Vega +6 more
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