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Article Dans Une Revue Data in Brief Année : 2019

Statistical power estimation dataset for external validation GoF tests on EVT distribution

Résumé

This paper presents the statistical power estimation of goodness-of-fit tests for Extreme Value Theory (EVT) distributions. The presented dataset provides quantitative information on the statistical power, in order to enable the sample size selection in external validation scenario. In particular, high precision estimations of the statistical power of KS, AD, and MAD goodness-of-fit tests have been computed using a Monte Carlo approach. The full raw dataset resulting from this analysis has been published as reference for future studies: https://doi.org/10.17632/hh2byrbbmf. 1.
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Dates et versions

hal-02650476 , version 1 (29-05-2020)

Identifiants

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Federico Reghenzani, Giuseppe Massari, Luca Santinelli, William Fornaciari. Statistical power estimation dataset for external validation GoF tests on EVT distribution. Data in Brief, 2019, 25, pp.104071. ⟨10.1016/j.dib.2019.104071⟩. ⟨hal-02650476⟩

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