Weighted Cumulative Residual Mathai-Haubold Entropy

Fuente: arXiv
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Bibliographic Details
Main Authors: R, Anija C., S, Smitha, Kattumannil, Sudheesh K.
Format: Preprint
Published: 2026
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author R, Anija C.
S, Smitha
Kattumannil, Sudheesh K.
author_facet R, Anija C.
S, Smitha
Kattumannil, Sudheesh K.
contents In this paper, we introduce the weighted cumulative residual Mathai--Haubold entropy and establish its fundamental properties. A dynamic version is developed, and its behavior under linear transformations is studied. Bounds and explicit expressions for some lifetime distributions are derived. Characterization results based on the associated measure are obtained and two new classes of life distributions are formulated. A goodness-of-fit test for the Rayleigh distribution is proposed and its performance is evaluated through a Monte Carlo simulation study. Applications to real data sets demonstrate the practical applicability of the proposed methodology
format Preprint
id arxiv_https___arxiv_org_abs_2604_23174
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Weighted Cumulative Residual Mathai-Haubold Entropy
R, Anija C.
S, Smitha
Kattumannil, Sudheesh K.
Methodology
In this paper, we introduce the weighted cumulative residual Mathai--Haubold entropy and establish its fundamental properties. A dynamic version is developed, and its behavior under linear transformations is studied. Bounds and explicit expressions for some lifetime distributions are derived. Characterization results based on the associated measure are obtained and two new classes of life distributions are formulated. A goodness-of-fit test for the Rayleigh distribution is proposed and its performance is evaluated through a Monte Carlo simulation study. Applications to real data sets demonstrate the practical applicability of the proposed methodology
title Weighted Cumulative Residual Mathai-Haubold Entropy
topic Methodology
url https://arxiv.org/abs/2604.23174