摘要
本文构造了竞争风险场合分布函数的乘积极限 (PL)型估计 ,运用经验过程的逼近理论及Taylor展开方法 。
In this paper, we introduce the product limit estimator of a distribution function under competing risks case. We give the rate of weak uniform convergence of the PL type estimator over the whole line and drive sufficient and necessary conditions by the approximation of empirical process and Taylor expansion.
出处
《应用数学》
CSCD
北大核心
2002年第3期89-94,共6页
Mathematica Applicata
基金
东南大学科学基金资助 (XJ0 0 0 74 0 )
关键词
竞争风险
乘积极限估计
弱一致收敛
速度
competing risks
product limit estimator
weak uniform convergence
rate
