Empirical likelihood based on synthetic right censored data

DOI10.1016/J.SPL.2020.108962zbMath1456.62232OpenAlexW3092851882MaRDI QIDQ826710

Wei Liang, Hongsheng Dai

Publication date: 6 January 2021

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

Full work available at URL: http://repository.essex.ac.uk/28831/1/EL_survival_main.pdf

zbMATH Keywords

survival analysiscensoringmean empirical likelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Cites Work

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• Empirical likelihood on the full parameter space
• Adjusted empirical likelihood with high-order precision
• Asymptotic normality of the `synthetic data' regression estimator for censored survival data
• The strong law under random censorship
• The central limit theorem under random censorship
• Empirical likelihood is Bartlett-correctable
• Mean empirical likelihood
• Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
• Empirical likelihood for a class of functionals of survival distribution with censored data

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