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September, 1983 The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method
Martin A. Tanner, Wing Hung Wong
Ann. Statist. 11(3): 989-993 (September, 1983). DOI: 10.1214/aos/1176346265

Abstract

By convolution smoothing of the empirical hazards, a kernel estimate of the hazard function from censored data is obtained. Small and large sample expressions for the mean and the variance of the estimator are given. Conditions for asymptotic normality are investigated using the Hajek projection method.

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Martin A. Tanner. Wing Hung Wong. "The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method." Ann. Statist. 11 (3) 989 - 993, September, 1983. https://doi.org/10.1214/aos/1176346265

Information

Published: September, 1983
First available in Project Euclid: 12 April 2007

zbMATH: 0546.62017
MathSciNet: MR707949
Digital Object Identifier: 10.1214/aos/1176346265

Subjects:
Primary: 62G05
Secondary: 62P10

Rights: Copyright © 1983 Institute of Mathematical Statistics

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Vol.11 • No. 3 • September, 1983
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