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Research Article

Jackknife empirical likelihood ratio test for logistic distribution using fixed point characterization

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Received 28 Jun 2022, Accepted 21 Oct 2023, Published online: 14 Nov 2023
 

Abstract

Tests for the goodness of fit of logistic distribution have received much attention in the literature as it is widely used in many studies related to bio-assay, population growth, etc. In this paper, we propose a method to test whether the data comes from a logistic distribution or not. We derive the asymptotic distribution of the test statistic. Also, we develop a test based on Jackknife Empirical Likelihood (JEL). The finite sample performance of the JEL ratio test is evaluated through Monte Carlo simulation. We illustrate the proposed method using a real data set.

Disclosure statement

No potential conflict of interest was reported by the authors.

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