Nonparametric estimation of extropy based measures under right censoring

This paper proposes nonparametric estimators for extropy-related measures based on the famous Kaplan-Meier estimator and the kernel density estimator for right censored data. Properties such as consistency and asymptotic normality of the proposed kernel estimators under the dependence condition are established. Moreover, the performance of the suggested estimators is evaluated using both simulated and real data sets.