Weighted cumulative residual entropy generating function and its use in testing Rayleigh distribution

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Authors: Smitha S, Sudheesh K. Kattumannil, Sreedevi E. P
Cited by: 1
References: 32

Abstract

The study of the generating function approach to entropy has gained popularity due to its ability to produce several well-known entropy measures found in the literature. In this work, we define the weighted cumulative residual entropy generating function (WCREGF) and study its properties. We then introduce the dynamic weighted cumulative residual entropy generating function (DWCREGF). It is shown that the DWCREGF uniquely determines the distribution. We study some characterization results using the relationship between the DWCREGF and the hazard rate and/or the mean residual life function. Using a characterization based on DWCREGF, we propose a new goodness-of-fit test for the Rayleigh distribution. A Monte Carlo simulation study is conducted to evaluate the performance of the proposed test. Finally, the test is illustrated by means of two real data sets.

Fields of Study & Subjects

Statistical Distribution Estimation and Applications Reliability and Maintenance Optimization Statistical Mechanics and Entropy

Publication details

Journal / source
Communication in Statistics- Theory and Methods
Publisher
Informa UK Limited
Volume
55
Issue
20
Pages
7090–7108
Publication date
19 June 2026
Language
EN