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

2023/07/10 by Balakrishnan, N., Paroissin, Christian, Vivo, Magdalena Pereda
#FOS: Mathematics #Statistics Theory (math.ST)

paper · doi:10.48550/arxiv.2307.04406

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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