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arXiv · 2410.04082

Jackknife empirical likelihood ratio test for log symmetric distribution using probability weighted moments

Anjana S·Sudheesh Kattumannil
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Abstract

Log symmetric distributions are useful in modeling data which show high skewness and have found applications in various fields. Using a recent characterization for log symmetric distributions, we propose a goodness of fit test for testing log symmetry. The asymptotic distributions of the test statistics under both null and alternate distributions are obtained. As the normal-based test is difficult to implement, we also propose a jackknife empirical likelihood (JEL) ratio test for testing log symmetry. We conduct a Monte Carlo Simulation to evaluate the performance of the JEL ratio test. Finally, we illustrated our methodology using different data sets.

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Anjana S, Sudheesh Kattumannil. 2024-10-05. Jackknife empirical likelihood ratio test for log symmetric distribution using probability weighted moments. https://arxiv.org/abs/2410.04082

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