English

Non-parametric estimation of cumulative (residual) extropy

Methodology 2021-08-23 v2 Applications

Abstract

Extropy and its properties are explored to quantify the uncertainty. In this paper, we obtain alternative expressions for cumulative residual extropy and negative cumulative extropy. We obtain simple estimators of cumulative (residual) extropy. Asymptotic properties of the proposed estimators are studied. We also present new estimators of cumulative (residual) extropy when the data is right censored. The finite sample performance of the estimators is evaluated through Monte Carlo simulation studies. We use the proposed estimators to analyse different real data sets. Finally, we obtain the relationship between different dynamic and weighted extropy measures and reliability concepts, which leads to several open problems associated with these measures.

Keywords

Cite

@article{arxiv.2108.06324,
  title  = {Non-parametric estimation of cumulative (residual) extropy},
  author = {Sudheesh K. K. and Sreedevi E. P},
  journal= {arXiv preprint arXiv:2108.06324},
  year   = {2021}
}

Comments

We obtain the relationship between different dynamic and weighted extropy measures and reliability concepts. These lead to several open problems associated with dynamic and weighted extropy measures

R2 v1 2026-06-24T05:06:07.786Z