2013
DOI: 10.1007/s10260-013-0234-7
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Threshold selection for extremes under a semiparametric model

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Cited by 4 publications
(2 citation statements)
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“…other hand, the level must be low enough to ensure that sufficient data will be selected to guarantee an accurate estimation of the distribution parameters, and the variance of the parameters will be decreased [47]. Johannesson [40] suggested a simple method that sets the threshold equal to the square root of the cycle number in the signal and works well in many cases [48].…”
Section: A Review Of the Extrapolation Methods In Load Spectrum Compilingmentioning
confidence: 99%
“…other hand, the level must be low enough to ensure that sufficient data will be selected to guarantee an accurate estimation of the distribution parameters, and the variance of the parameters will be decreased [47]. Johannesson [40] suggested a simple method that sets the threshold equal to the square root of the cycle number in the signal and works well in many cases [48].…”
Section: A Review Of the Extrapolation Methods In Load Spectrum Compilingmentioning
confidence: 99%
“…Despite the criticism of high subjectivity, the traditional graphical diagnostics (Coles 2001) still belong to the mostly used approaches in many applications. Since 2012, several new automated methods have been proposed (Wadsworth and Tawn 2012, Gonzalez et al 2013, Northrop and Coleman 2014. However, these techniques usually require tuning parameters and the problematic threshold selection using graphical diagnostics is only converted to another problem.…”
Section: Statistical Inference Based On Threshold Exceedencementioning
confidence: 99%