Central limit theorem for integrated square error of kernel hazard estimator under censored dependent model.

S. Jomhoori; V. Fakoor; H. A. Azarnoosh

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Central limit theorem for integrated square error of kernel hazard estimator under censored dependent model.

Author(s)

S. Jomhoori Department of Statistics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Iran

V. Fakoor Department of Statistics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Iran

H. A. Azarnoosh Department of Statistics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Iran

Abstract

In some long term studies, a series of dependent and possibly censored failure times may be observed. Suppose that the failure times have a common distribution function F. A popular measure of the distance between the hazard function of the survival times l and its kernel estimate ^ln is the integrated square error. In this paper, we derive central limit theorem for the integrated square error of the kernel hazard estimator under a censored dependent model.

Publication Details

Page(s) 193-203

DOI DOI not available

Published Journal: Pakistan Journal of Statistics, Volume: 23, Issue: 3, Year: 2007

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