The uniform law of large numbers for the Kaplan-Meier integral process

DOI10.1017/S0004972700037254zbMath1050.60030MaRDI QIDQ4435666

Jongsig Bae, Sungyeun Kim

Publication date: 17 November 2003

Published in: Bulletin of the Australian Mathematical Society (Search for Journal in Brave)

zbMATH Keywords

empirical processuniform law of large numbersconvergence in the meanKaplan-Meier integral process

Mathematics Subject Classification ID

Strong limit theorems (60F15) Functional limit theorems; invariance principles (60F17)

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Cites Work

• Unnamed Item
• A central limit theorem under metric entropy with \(L_ 2\) bracketing
• The strong law under random censorship
• The central limit theorem under random censorship
• Weak convergence and empirical processes. With applications to statistics
• Nonparametric Estimation from Incomplete Observations
• Generalizations of the Glivenko-Cantelli Theorem