In this paper,a class of functionals of Kaplan-Meier estimator is investigated.Counting process martingale methods are used to show the asymptotic normality,and we establish a mean square error inequality and a probab...In this paper,a class of functionals of Kaplan-Meier estimator is investigated.Counting process martingale methods are used to show the asymptotic normality,and we establish a mean square error inequality and a probability inequality of them without the assumption that F,G are continuous,where F,G are survival time distribution and censoring time distribution respectively.展开更多
基金This project is supported by China Postdoctoral Science Foundation
文摘In this paper,a class of functionals of Kaplan-Meier estimator is investigated.Counting process martingale methods are used to show the asymptotic normality,and we establish a mean square error inequality and a probability inequality of them without the assumption that F,G are continuous,where F,G are survival time distribution and censoring time distribution respectively.
