Asymptotic properties for estimation of partial linear models with censored data

DOI10.1016/S0378-3758(99)00141-XzbMath0968.62043OpenAlexW2080550872MaRDI QIDQ1972161

Gengsheng Qin, Bing-Yi Jing

Publication date: 17 September 2001

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(99)00141-x

zbMATH Keywords

asymptotic normalitylaw of the iterated logarithmkernel methodcensored datapartial linear modelsynthetic data

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)

Related Items (6)

Wavelet estimation in varying coefficient models for censored dependent data ⋮ Additive models in censored regression ⋮ Asymptotic properties of wavelet estimators in a semiparametric regression model with censored data ⋮ Testing for Linear Regression Relationships in Randomly Right-Censored Varying-Coefficient Models ⋮ Non‐parametric Regression with Dependent Censored Data ⋮ Modified estimators in semiparametric regression models with right-censored data

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