Martingale approach to nonparametric estimation of lifetime distribution under different censoring mechanisms

Document Type

Article

Publication Date

1-1-2008

Abstract

Nonparametric estimation of lifetime distribution is a crucial issue in survival analysis. In this paper, we consider such estimation problem in a uniform martingale framework. The corresponding estimators when the observed data are subject to right censoring, random truncation, and missing-censoring are derived and the large-sample behavior of these estimators are studied by applying martingale theory. © 2008 Taylor & Francis Group, LLC. All rights reserved.

Publication Title

Journal of Statistical Theory and Practice

First Page Number

535

Last Page Number

549

DOI

10.1080/15598608.2008.10411893

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