Bivariate Dynamic Weighted Survival Entropy of Order 𝛼

Q3 Mathematics
S. Nair Rohini, E. I. Abdul Sathar
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引用次数: 1

Abstract

Abstract Recently, G. Rajesh, E. I. Abdul-Sathar and S. Nair Rohini [G. Rajesh, E. I. Abdul-Sathar and S. Nair Rohini, On dynamic weighted survival entropy of order α, Comm. Statist. Theory Methods 46 2017, 5, 2139–2150] proposed a measure of uncertainty based on the survival function called weighted survival entropy of order α. They have also introduced the dynamic form of a measure called dynamic weighted survival entropy of order α and studied various properties in the context of reliability modeling. In this paper, we extend these measures into the bivariate setup and study its properties. We also look into the problem of extending the same measure for conditionally specified models. Empirical and non-parametric estimators are suggested for the proposed measure using the conditionally specified model, and the effect of the proposed estimators is illustrated using simulated and real data sets.
二阶二阶动态加权生存熵
最近,G. Rajesh, E. I.;Abdul-Sathar和S. Nair Rohini [G.]拉杰什,e。王晓明,一种动态加权生存熵的研究方法,数学学报。理论方法[46,2017,5,2139-2150]提出了一种基于生存函数的不确定性度量,称为阶α加权生存熵。他们还介绍了一种称为阶α动态加权生存熵的度量的动态形式,并研究了可靠性建模背景下的各种特性。在本文中,我们将这些度量推广到二元设置中,并研究了它的性质。我们还研究了对条件指定模型的相同测度的扩展问题。利用条件指定模型提出了经验估计量和非参数估计量,并用模拟和实际数据集说明了所提出估计量的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Stochastics and Quality Control
Stochastics and Quality Control Mathematics-Discrete Mathematics and Combinatorics
CiteScore
1.10
自引率
0.00%
发文量
12
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