Tests of fit for the Gumbel distribution: EDF-based tests against entropy-based tests

DOI10.1080/02664763.2019.1698522OpenAlexW2992622325MaRDI QIDQ5037027

Hadi Alizadeh Noughabi, J. Jarrahiferiz

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1698522

zbMATH Keywords

Monte Carlo simulationGumbel distributiontest powerentropy estimator

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (1)

A new estimator of Kullback–Leibler information based on a local linear regression and its application in goodness-of-fit tests

Uses Software

• SPLIDA

Cites Work

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• Empirical likelihood ratios applied to goodness-of-fit tests based on sample entropy
• Two measures of sample entropy
• On the entropy estimators
• A new estimator of entropy and its application in testing normality
• Goodness-of-Fit Test for Exponentiality Based on Kullback–Leibler Information
• Testing Exponentiality Based on Type II Censored Data and a New cdf Estimator
• A Goodness-of-Fit Test for the Gumbel Distribution Based on Kullback–Leibler Information
• A new estimator of entropy
• MONTE CARLO COMPARISON OF FOUR NORMALITY TESTS USING DIFFERENT ENTROPY ESTIMATES
• General treatment of goodness-of-fit tests based on Kullback–Leibler information
• An entropy test for the Rayleigh distribution and power comparison
• Monte Carlo comparison of five exponentiality tests using different entropy estimates

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