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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/182

Title: Relative density estimation with censored data
Authors: Cao, Ricardo
JANSSEN, Paul
VERAVERBEKE, Noel
Keywords: Mathematical Statistics
Non and semiparametric methods
Issue Date: 2000
Publisher: CANADIAN JOURNAL STATISTICS
Citation: Canad. J. Statist., 28. p. 97-111
Abstract: Well-described tools for comparing two populations via their cumulative distribution functions are the so-called relative distribution R(t) = F { F-0(-1)(t)} and the corresponding relative density (or grade density) r(t). The authors propose a kernel-type estimator for the relative density r (t) in the situation where independent samples of right-censored observations are available from the two populations. It is shown that the estimator admits an asymptotic: representation from which its limit distribution can be obtained. The results generalize those of Cwik & Mielniczuk: (1993) in the complete sample case.
URI: http://hdl.handle.net/1942/182
ISI #: 000087718100007
ISSN: 0319-5724
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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