Jackknife empirical likelihood ratio test for logistic distribution using fixed point characterization
Article Type
Research Article
Publication Title
Communications in Statistics: Simulation and Computation
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.
DOI
https://10.1080/03610918.2023.2278021
Publication Date
1-1-2023
Recommended Citation
Anisha, P.; Mathew, Deemat C.; and Kattumannil, Sudheesh K., "Jackknife empirical likelihood ratio test for logistic distribution using fixed point characterization" (2023). Journal Articles. 3911.
https://digitalcommons.isical.ac.in/journal-articles/3911