A remark concerning strong uniform consistency of the conditional Kaplan- Meier estimator

DOI10.1016/0167-7152(87)90006-XzbMath0659.62046OpenAlexW2057721183MaRDI QIDQ1112503

Jan Mielniczuk

Publication date: 1987

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(87)90006-x

zbMATH Keywords

conditional distributionconditional Kaplan-Meier estimatorstrong uniform consistencyrandomly censored data

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (1)

Nonparametric Estimation of the Multivariate Distribution Function in a Censored Regression Model with Applications

Cites Work

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• On the almost everywhere convergence of nonparametric regression function estimates
• Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
• Nonparametric Estimation from Incomplete Observations
• Probability Inequalities for the Sum of Independent Random Variables
• Necessary and sufficient conditions for the pointwise convergence of nearest neighbor regression function estimates
• Probability Inequalities for Sums of Bounded Random Variables

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