On cumulative residual Tsallis entropy and its dynamic version of concomitants of generalized order statistics

被引：8
|
作者：
Mohamed, Mohamed Said [1 ]
机构：
[1] Ain Shams Univ, Dept Math, Fac Educ, Cairo, Egypt
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2022年 / 51卷 / 08期
关键词：
Concomitants; generalized order statistics; FGM family; Stochastic orders; Tsallis entropy;
D O I：
10.1080/03610926.2020.1777306
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：
The cumulative residual Tsallis entropy and its dynamic version were first proposed by Sati and Gupta and studied their various properties. Consequently, Rajesh and Sunoj developed this model with some additional features. In this paper, we deal with those models for concomitants of m-generalized order statistics under Farlie-Gumbel-Morgenstern family. Some applications and upper bounds are provided. In addition, some stochastically comparisons are made.
引用
收藏
页码：2534 / 2551
页数：18
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