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
Recommended Citation
Wang, Jiantian, "Martingale approach to nonparametric estimation of lifetime distribution under different censoring mechanisms" (2008). Kean Publications. 2491.
https://digitalcommons.kean.edu/keanpublications/2491