May 6, 2024
Saeid Tahmasebi

Saeid Tahmasebi

Academic Rank: Associate professor
Address: Department of Statistics , Persian Gulf University , Iran
Degree: Ph.D in Statistics
Phone: 077-31223329
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title On weighted cumulative residual extropy‎: ‎characterization‎, ‎estimation and testing
Type Article
Keywords
Weighted cumulative residual extropy ; conditional extropy; empirical extropy ; weighted extropy.
Journal STATISTICS
DOI https://doi.org/10.1080/02331888.2022.2072505
Researchers Majid Hashempour (First researcher) , Mohammad Reza Kazemi (Second researcher) , Saeid Tahmasebi (Third researcher)

Abstract

This paper considers a new generalization of cumulative residual extropy (CRJ) introduced by Jahanshahi et al. [On cumulative residual extropy. Probab Eng Inf Sci. 2019. DOI:10.1017/S0269964819000196],called weighted cumulative residual extropy (WCRJ). This paper studies some properties of WCRJ of continuous lifetime distributions. Several results including various bounds, inequalities, and effects of linear transformations are obtained. Conditional WCRJ and some of its properties are discussed. Related studies of survival analysis are covered. Also, we propose an empirical version of the WCRJ to estimate this measure of uncertainty. Based on the asymptotic distribution of empirical WCRJ, a new test statistic is given for testing the equality of two cumulative distribution functions. The power of the proposed test statistic is compared to other traditional and new competing approaches. Some simulations are carried out to show how this newly proposed method is more powerful than the others for moderate to large sample sizes.