Least squares estimators of the regression function with twice censored data

DOI10.1016/j.spl.2011.06.010zbMath1227.62026OpenAlexW2041561118MaRDI QIDQ643224

Ilhem Laroussi, Fatiha Messaci, Khedidja Kebabi

Publication date: 28 October 2011

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2011.06.010

zbMATH Keywords

least squares estimatorsconvergence in the \(L_{2}\)-normregression estimatorstwice censored data

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (5)

Median regression from twice censored data ⋮ Asymptotic properties of a kernel etimate of the conditional mode in the presence of doubly censored data ⋮ Kernel estimation of the conditional density under a censorship model ⋮ Rate of the almost complete convergence of a kernel regression estimate with twice censored data ⋮ Estimation of Multiple Linear Regression Model with Twice-Censored Data

Cites Work

• Local averaging estimates of the regression function with twice censored data
• Decision theoretic generalizations of the PAC model for neural net and other learning applications
• Prediction from randomly right censored data
• A distribution-free theory of nonparametric regression
• Product-limit estimators of the survival function with twice censored data
• Bayesian survival estimation for incomplete data when the life distribution is proportionally related to the censoring time

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