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June, 1985 A Note on Data-Adaptive Kernel Estimation of the Hazard and Density Function in the Random Censorship Situation
Helmut Schafer
Ann. Statist. 13(2): 818-820 (June, 1985). DOI: 10.1214/aos/1176349560

Abstract

In a recent paper, Tanner (1983) proves pointwise consistency of a variable bandwidth kernel estimator for the hazard function. In the present note, a simplified proof of uniform consistency of a data-adaptive kernel estimator with certain additional advantages is given.

Citation

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Helmut Schafer. "A Note on Data-Adaptive Kernel Estimation of the Hazard and Density Function in the Random Censorship Situation." Ann. Statist. 13 (2) 818 - 820, June, 1985. https://doi.org/10.1214/aos/1176349560

Information

Published: June, 1985
First available in Project Euclid: 12 April 2007

zbMATH: 0606.62040
MathSciNet: MR790578
Digital Object Identifier: 10.1214/aos/1176349560

Subjects:
Primary: 62P10
Secondary: 62G05 , 65D10

Keywords: density function , hazard function , kernel estimators , nonparametric estimation , random censorship model , sample-point-dependent bandwidths

Rights: Copyright © 1985 Institute of Mathematical Statistics

Vol.13 • No. 2 • June, 1985
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