Local polynomial-Brunk estimation in semi-parametric monotone errors-in-variables model with right-censored data

DOI10.1007/s11424-014-3103-zzbMath1320.93079OpenAlexW1964193651MaRDI QIDQ498089

Yong-Cai Geng, Sumit K. Garg

Publication date: 25 September 2015

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-014-3103-z

zbMATH Keywords

grouped dataB-splinelocal polynomialmonotone regressionright-censored semiparametric model

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Spline approximation (41A15)

Cites Work

• The asymptotic behavior of monotone regression estimates
• Regression analysis with randomly right-censored data
• Asymptotic normality of the `synthetic data' regression estimator for censored survival data
• Estimation in a semiparametric partially linear errors-in-variables model
• A class of grouped Brunk estimators and penalized spline estimators for monotone regression
• On the Estimation of Parameters Restricted by Inequalities
• Partially linear models with missing response variables and error-prone covariates
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