Statistical diagnosis for non-parametric regression models with random right censorship based on the empirical likelihood method

DOI10.1080/02664763.2014.999656OpenAlexW2086355031MaRDI QIDQ5130254

Jiangtao Dai, Shu-Ling Wang, Xiao-Yan Wang

Publication date: 4 November 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2014.999656

zbMATH Keywords

outlierempirical likelihoodrandom right censorshipinfluence analysisKaplan-Meier product-limit estimate

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Empirical likelihood and general estimating equations
• Coverage accuracy of confidence intervals in nonparametric regression
• Diagnostic measures for empirical likelihood of general estimating equations
• Confidence Interval Estimation of Survival Probabilities for Censored Data
• Censored Regression: Local Linear Approximations and Their Applications
• Nonparametric Regression Estimates with Censored Data: Local Linear Smoothers and Their Applications
• Statistical models based on counting processes
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