Bivariate Dynamic Weighted Survival Entropy of Order 𝛼
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.
Year of publication: |
2019
|
---|---|
Authors: | Nair Rohini, S. ; Abdul Sathar, E. I. |
Published in: |
Stochastics and Quality Control. - De Gruyter, ISSN 2367-2404, ZDB-ID 2905267-1. - Vol. 34.2019, 2, p. 67-85
|
Publisher: |
De Gruyter |
Subject: | Bivariate Information Measures | Bivariate Survival Entropy | Weighted Distributions, Kernel Density Estimation |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Find similar items by using search terms and synonyms from our Thesaurus for Economics (STW).