On the Kaplan–Meier estimator based on ranked set samples

DOI10.1080/00949655.2013.794348zbMath1453.62435OpenAlexW2007715772MaRDI QIDQ5219513

M. Mahdizadeh, Ewa Strzalkowska-Kominiak

Publication date: 12 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.794348

zbMATH Keywords

Kaplan-Meiercensored dataranked set sampling

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Sampling theory, sample surveys (62D05)

Related Items (10)

New distribution function estimators and tests of perfect ranking in concomitant-based ranked set sampling ⋮ On interval estimation of the population mean in ranked set sampling ⋮ Quantile estimation in modified ranked set sampling methods ⋮ Resampling based inference for a distribution function using censored ranked set samples ⋮ Improved Kaplan-Meier estimator in survival analysis based on partially rank-ordered set samples ⋮ Unnamed Item ⋮ Maximum likelihood estimation based on ranked set sampling designs for two extensions of the Lindley distribution with uncensored and right-censored data ⋮ Performance of coefficient of variation estimators in ranked set sampling ⋮ Mean estimate in ranked set sampling using a length-biased concomitant variable ⋮ CDF estimation in multistage pair ranked set sampling

Cites Work

• Unnamed Item
• Strong embedding of the estimator of the distribution function under random censorship
• The strong law under random censorship
• Ranked set sampling. Theory and applications
• The central limit theorem under random censorship
• Nonparametric Estimation from Incomplete Observations
• A New Ranked Set Sample Estimator of Variance

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