Non-parametric estimation of cumulative (residual) extropy

被引：2

作者：

Kattumannil, Sudheesh K. K. ^{[1
]}

Sreedevi, E. P. ^{[2
]}

机构：

[1] Indian Stat Inst, Chennai, India

[2] SNGS Coll, Pattambi, India

来源：

STATISTICS & PROBABILITY LETTERS | 2022年 / 185卷

关键词：

Entropy; Extropy; Right censoring; U-statistics; STATISTICS;

D O I：

10.1016/j.spl.2022.109434

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：

We obtain simple estimators of cumulative (residual) extropy for complete and right censored data and study their properties. A Monte Carlo simulation study is conducted to evaluate the finite sample performance of the estimators. Finally, we establish the relationship between different extropy measures and reliability concepts. (c) 2022 Elsevier B.V. All rights reserved.

引用

页数：7

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