On testing the class of symmetry using entropy characterization and empirical likelihood approach

Fuente: arXiv
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Auteurs principaux: Avhad, Ganesh Vishnu, Lahiri, Ananya, Kattumannil, Sudheesh K.
Format: Preprint
Publié: 2025
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author Avhad, Ganesh Vishnu
Lahiri, Ananya
Kattumannil, Sudheesh K.
author_facet Avhad, Ganesh Vishnu
Lahiri, Ananya
Kattumannil, Sudheesh K.
contents In this paper, we obtain a new characterization result for symmetric distributions based on the entropy measure. Using the characterization, we propose a nonparametric test to test the symmetry of a distribution. We also develop the jackknife empirical likelihood and the adjusted jackknife empirical likelihood ratio tests. The asymptotic properties of the proposed test statistics are studied. We conduct extensive Monte Carlo simulation studies to assess the finite sample performance of the proposed tests. The simulation results indicate that the jackknife empirical likelihood and adjusted jackknife empirical likelihood ratio tests show better performance than the existing tests. Finally, two real data sets are analysed to illustrate the applicability of the proposed tests.
format Preprint
id arxiv_https___arxiv_org_abs_2505_08565
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On testing the class of symmetry using entropy characterization and empirical likelihood approach
Avhad, Ganesh Vishnu
Lahiri, Ananya
Kattumannil, Sudheesh K.
Statistics Theory
In this paper, we obtain a new characterization result for symmetric distributions based on the entropy measure. Using the characterization, we propose a nonparametric test to test the symmetry of a distribution. We also develop the jackknife empirical likelihood and the adjusted jackknife empirical likelihood ratio tests. The asymptotic properties of the proposed test statistics are studied. We conduct extensive Monte Carlo simulation studies to assess the finite sample performance of the proposed tests. The simulation results indicate that the jackknife empirical likelihood and adjusted jackknife empirical likelihood ratio tests show better performance than the existing tests. Finally, two real data sets are analysed to illustrate the applicability of the proposed tests.
title On testing the class of symmetry using entropy characterization and empirical likelihood approach
topic Statistics Theory
url https://arxiv.org/abs/2505.08565