A new non-parametric estimator of the cumulative distribution function under time-and random-censoring

07/10/2023

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by   N. Balakrishnan, et al.

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In this paper, we first provide a review of different non-parametric estimators for the cumulative distribution function under left-censoring. We then propose a new estimator based on a non-parametric likelihood approach using reversed hazard rate. Finally, we conclude with an application to a real data.