![Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days]({"type":"image" , "src" : "/sda/5943/TOC-Subject-Sample-2021-Mathematics-Statistics.jpg"})
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.