The Annals of Statistics

A Note on the Variable Kernel Estimator of the Hazard Function from Randomly Censored Data

Martin A. Tanner

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Abstract

In a recent paper (Tanner and Wong, 1983b), a family of data-based nonparametric hazard estimators was introduced. Several of these estimators were studied in an extensive simulation experiment. The estimator which allows for variable bandwidth was found to have a superior performance. In this note, sufficient conditions for the variable kernel estimator to be strongly consistent are presented.

Article information

Source
Ann. Statist., Volume 11, Number 3 (1983), 994-998.

Dates
First available in Project Euclid: 12 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.aos/1176346266

Digital Object Identifier
doi:10.1214/aos/1176346266

Mathematical Reviews number (MathSciNet)
MR707950

Zentralblatt MATH identifier
0542.62029

JSTOR
links.jstor.org

Subjects
Primary: 62P10: Applications to biology and medical sciences
Secondary: 62G05: Estimation 65D10: Smoothing, curve fitting

Keywords
Hazard function variable kernel nearest neighbor random censoring nonparametric estimation

Citation

Tanner, Martin A. A Note on the Variable Kernel Estimator of the Hazard Function from Randomly Censored Data. Ann. Statist. 11 (1983), no. 3, 994--998. doi:10.1214/aos/1176346266. https://projecteuclid.org/euclid.aos/1176346266


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