科研之友
微信
新浪微博
Facebook
分享链接
摘要
This article discusses generalization of the well-known multivariate rank statistics under right-censored data case. Empirical process representation used to get the generalization. The marginal distribution functions are estimated by Kaplan-Meier estimators. Sufficient conditions for asymptotic normality of the generalized multivariate rank statistics under independently right censored data are specified. Several auxiliary results on sup-norm convergence of Kaplan-Meier estimators in randomly exhausting regions are given too.
- 出版日期2012
