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

被引：0

作者：

Anisha, P. ^{[1
]}

Mathew, Deemat C. ^{[2
]}

Kattumannil, Sudheesh K. ^{[3
]}

机构：

[1] Manipal Acad Higher Educ, Dept Data Sci, Manipal, India

[2] St Thomas Coll, Dept Stat, Palai, India

[3] Indian Stat Inst, Appl Stat Unit, Chennai, India

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2023年

关键词：

Goodness of fit test; JEL; Logistic distribution; Stein's identity; U-statistics; OF-FIT TEST;

D O I：

10.1080/03610918.2023.2278021

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页数：10

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