Bahadur representations of the empirical likelihood quantile processes

DOI10.1080/10485250008832826zbMath0970.62030OpenAlexW1976274930MaRDI QIDQ4512744

Jiahua Chen, Hanfeng Chen

Publication date: 3 October 2001

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250008832826

zbMATH Keywords

asymptotic normalityselection biasestimating equationconstrained estimation model

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)

Related Items (4)

Quantile and quantile-function estimations under density ratio model ⋮ Empirical likelihood calibration estimation for the median treatment difference in observational studies ⋮ Two-sample empirical likelihood ratio tests for medians in application to biomarker evaluations ⋮ The empirical likelihood estimation of the quantile function under the multiplicative intercept risk model

Cites Work

• Empirical likelihood ratio confidence regions
• Empirical distributions in selection bias models
• Nonparametric estimation in the presence of length bias
• Empirical likelihood for linear models
• Empirical likelihood in biased sample problems
• Empirical likelihood and general estimating equations
• Quantile processes in the presence of auxiliary information
• Approximation Theorems of Mathematical Statistics
• Empirical likelihood ratio confidence intervals for a single functional
• Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
• Estimating equations, empirical likelihood and constraints on parameters
• On Bahadur's Representation of Sample Quantiles

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