CONVERGENCE OF THE CONDITIONAL KAPLAN-MEIER ESTIMATE UNDER STRONG MIXING

被引：12

作者：

LECOUTRE, JP ^{[1
]}

OULDSAID, E ^{[1
]}

机构：

[1] UNIV PARIS 06,STAT THEOR & APPL LAB,F-75252 PARIS 05,FRANCE

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1995年 / 44卷 / 03期

关键词：

KAPLAN-MEIER CONDITIONAL ESTIMATE; STRONG MIXING; RIGHT CENSORING;

D O I：

10.1016/0378-3758(94)00084-9

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We establish the uniform almost complete consistency of the Kaplan-Meier conditional estimate, for stationary strong mixing processes, in the presence of right censoring.

引用

页码：359 / 369

页数：11

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