Article ID Journal Published Year Pages File Type
1151585 Statistics & Probability Letters 2015 7 Pages PDF
Abstract

We establish the uniform almost complete convergence, with rate, for estimators of both the cumulative hazard and the survival functions when the data are subject to twice censoring. Then, we derive similar convergence results for kernel type estimators of the density and the failure rate.

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Physical Sciences and Engineering Mathematics Statistics and Probability
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Rate of strong consistency for nonparametric estimators based on twice censored data
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