Asymptotic theory for estimators under random censorship

DOI10.1007/BF01192165zbMath0729.62039MaRDI QIDQ806856

Gutti Jogesh Babu

Publication date: 1991

Published in: Probability Theory and Related Fields (Search for Journal in Brave)

zbMATH Keywords

maximum likelihood estimatorproduct limit estimatorU-statisticmean lifebootstrapped statisticscause of deathrisk ratestudentized estimator of the risk ratetwo term Edgeworth expansion

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric statistical resampling methods (62G09) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (2)

A Martingale-based bootstrap inference with censored data ⋮ A study of a class of weighted bootstrap for censored data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Strong embedding of the estimator of the distribution function under random censorship
• An Edgeworth expansion for U-statistics
• Estimating dependent life lengths, with applications to the theory of competing risks
• Bootstrap confidence intervals
• The Edgeworth expansion for U-statistics of degree two
• The product-limit estimator and the bootstrap: Some asymptotic representations
• Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
• Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
• Nonparametric Estimation from Incomplete Observations
• Nonparametric Estimation of Specific Occurrence/Exposure Rate in Risk and Survival Analysis

This page was built for publication: Asymptotic theory for estimators under random censorship