Computation of the empirical likelihood ratio from censored data

DOI10.1080/10629360600890998zbMath1131.62034OpenAlexW2167302172MaRDI QIDQ5454210

Kun Chen, Mai Zhou

Publication date: 28 March 2008

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

Full work available at URL: https://doi.org/10.1080/10629360600890998

zbMATH Keywords

sequential quadratic programmingconstraintsmaximizationWilks' theorem

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric estimation (62G05) Applications of mathematical programming (90C90)

Related Items (1)

A recursive formula for the Kaplan-Meier estimator with mean constraints and its application to empirical likelihood

Cites Work

• Empirical likelihood ratio confidence regions
• Empirical likelihood for linear models
• Using one-parameter sub-family of distributions in empirical likelihood ratio with censored data
• Semiparametric likelihood ratio inference
• Empirical likelihood ratio confidence intervals for a single functional
• Confidence Interval Estimation of Survival Probabilities for Censored Data
• Numerical Optimization
• Maximum likelihood for interval censored data: Consistency and computation

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