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Non-parametric estimation of cumulative (residual) extropy

We obtain simple estimators of cumulative (residual) extropy for complete and right censored data and study their properties. A Monte Carlo simulation study is conducted to evaluate the finite sample performance of the estimators. Finally, we establish the relationship between different extropy meas...

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Bibliographic Details
Published in:Statistics & probability letters 2022-06, Vol.185, p.109434, Article 109434
Main Authors: Kattumannil, Sudheesh K., E.P., Sreedevi
Format: Article
Language:English
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Summary:We obtain simple estimators of cumulative (residual) extropy for complete and right censored data and study their properties. A Monte Carlo simulation study is conducted to evaluate the finite sample performance of the estimators. Finally, we establish the relationship between different extropy measures and reliability concepts.
ISSN:0167-7152
1879-2103
DOI:10.1016/j.spl.2022.109434