Rate of strong consistency for nonparametric estimators based on twice censored data

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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Year of publication:	2015
Authors:	Kitouni, Abderrahim ; Boukeloua, Mohamed ; Messaci, Fatiha
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 96.2015, C, p. 255-261
Publisher:	Elsevier
Subject:	Almost complete convergence \| Product-limit estimator \| Density \| Failure rate \| Twice censoring

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011115933