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arXiv · 2307.04406

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

N. Balakrishnan·Christian Paroissin·Magdalena Pereda Vivo
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Abstract

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.

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N. Balakrishnan, Christian Paroissin, Magdalena Pereda Vivo. 2023-07-10. A new non-parametric estimator of the cumulative distribution function under time-and random-censoring. https://arxiv.org/abs/2307.04406

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