# Non-parametric estimation of cumulative (residual) extropy

Source: [Non-parametric estimation of cumulative (residual) extropy](<https://www.sota2.com/research/paper/68fa7e431e209131cea95c8a>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T06:32:08.551Z

Authors: Sudheesh K. K., Sreedevi E. P

Published: 2021-08-13T17:32:56.000Z

## 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.

## Recorded benchmark results

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## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2108.06324>)

[PDF](<https://arxiv.org/pdf/2108.06324.pdf>)