Bivariate Dynamic Weighted Survival Entropy of Order 𝛼

Author:

Nair Rohini S.,Abdul Sathar E. I.

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.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Safety, Risk, Reliability and Quality,Statistics and Probability

Reference60 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bivariate dynamic weighted cumulative residual entropy;Japanese Journal of Statistics and Data Science;2023-12-14

2. Bivariate Extension of Weighted Dynamic Survival Extropy and Its Quantile Approach;International Journal of Reliability, Quality and Safety Engineering;2023-10-05

3. On Bivariate Dynamic Survival Extropy and Its Estimation;Journal of the Indian Society for Probability and Statistics;2022-06-17

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