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The paper focuses on the development of a method for extreme value estimation based on sampled time series.
This paper presents the SCHADEX probabilistic method for extreme flood estimation, developed and applied since 2006 at Electricité de France (EDF) for dam spillway design.
The method for extreme flood indirect estimation was applied to the American river catchment, at the Folsom dam, in the state of California, USA.
No-stir method: For extreme cluster hoarders, follow an easy no-stir method.
The favored method for extreme isolation is emplacement in a deep stable geologic formation.
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This study presents a comprehensive assessment of various methods for extreme value analysis of non-Gaussian wind effects using short-term time history samples.
The paper presents a comparative assessment of methods for extreme value analysis of the US wind speed data using four different methods, namely Standard Gumbel, Modified Gumbel, Peaks-Over-Threshold (POT) and Method of Independent Storms (MIS).
In this paper, we suggest a new method for ranking extreme efficient DMUs.
In this paper, we introduce an alternative multivariate method for assessing extreme storm conditions.
Because no actual loadings are considered in this method, the resistance provided by the alternate load path method for specific extreme events is not well quantified.
In this paper, we extend this work by combining our method for selecting extreme examples with two incremental learning algorithms, aq11 and gem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com