L-estimators and m-estimators for doubly censored data

DOI10.1080/10485259708832712zbMath0881.62054OpenAlexW2017534874MaRDI QIDQ4352131

Jian-Jian Ren, Mai Zhou

Publication date: 25 February 1998

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

Full work available at URL: https://doi.org/10.1080/10485259708832712

zbMATH Keywords

Fredholm integral equationasymptotic normalityHadamard differentiabilitystrong consistencyasymptotic variancesdoubly censored data\(M\)-estimatorsself-consistent estimator\(L\)-estimators

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Nonparametric estimation (62G05)

Related Items (4)

Nonparametric Estimation of the Bivariate Distribution Function with Doubly Censored Data ⋮ A modified functional delta method and its application to the estimation of risk functionals ⋮ Nonparametric Estimators of the Distribution Function for One Modified Model of Current Status Data ⋮ An inverse-probability-weighted approach to the estimation of distribution function with doubly censored data

Cites Work

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• Hadamard differentiability on \(D[0,1^p\)]
• Approximation Theorems of Mathematical Statistics
• Computational Methods for Integral Equations
• Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
• Robust Statistics
• Statistical models based on counting processes

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