Survival Copula Entropy and Dependence in Bivariate Distributions: Accepted - February 2023

S.M. Sunoj; N. Unnikrishnan Nair

Forthcoming

Survival Copula Entropy and Dependence in Bivariate Distributions

Accepted - February 2023

Authors

S.M. Sunoj Cochin University of Science and Technology https://orcid.org/0000-0002-6227-1506
N. Unnikrishnan Nair Cochin University of Science and Technology https://orcid.org/0000-0002-4750-2142

Keywords:

Bivariate Shannon entropy, copula entropy, cumulative residual entropy, dependence measures

Abstract

In the present work we propose survival copula entropy as an alternative to Shannon entropy, cumulative residual entropy and copula entropy measures in computing the uncertainty in bivariate populations. We examine the relationships between the various measures. The properties of survival copula entropy are discussed, especially its applications to ascertain the nature and extent of uncertainty among copulas.

Downloads

FP_REVSTAT2023_fev1

Published

2023-03-02

How to Cite

Sunoj , S., & Unnikrishnan Nair, N. (2023). Survival Copula Entropy and Dependence in Bivariate Distributions: Accepted - February 2023. REVSTAT-Statistical Journal. Retrieved from https://revstat.ine.pt/index.php/REVSTAT/article/view/560