November 16, 2024
Mahmoud Afshari

Mahmoud Afshari

Academic Rank: Associate professor
Address: Mahmoud Afshari, Associate Professor. Department of Statistics, College of science Persian Gulf University, 7516913798, Iran E-mail:afshar.5050@gmail.com or afshar@pgu.ac.ir TEL:00989177125766
Degree: Ph.D in statistics
Phone: 07731223328
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Extensions of fractional cumulative residual entropy with applications
Type Article
Keywords
Fractional cumulative residual entropy; fractional entropy; inverse Mittag- Leffler function; logistic map
Journal COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
DOI https://doi.org/10.1080/03610926.2022.2044493
Researchers farid foroghi (First researcher) , Saeid Tahmasebi (Second researcher) , Mahmoud Afshari (Third researcher) , Fazlollah Lak (Fourth researcher)

Abstract

Recently, Zhan and Shang (2021) proposed a modification of fractional entropy and proved some properties based on the inverse Mittag-Leffler function (MLF). In this article, we introduce extensions of fractional cumulative residual entropy (FCRE). Our results contain bivariate version of extended FCRE, linear transformation, bounds, stochastic ordering, and some properties of its dynamic version. We also study on the fractional cumulative residual mutual information and the conditional extended FCRE. Finally, we propose an estimator of extended FCRE using empirical approach. We establish a central limit theorem for the empirical extended FCRE under the exponential distribution. Additionally, the validity of this new measure is supported by numerical simulations on logistic map.