\(k\)-nn method in partial linear model under random censorship

DOI10.1007/BF02662870zbMath0836.62032OpenAlexW2320378011MaRDI QIDQ1906569

Gengsheng Qin

Publication date: 6 May 1996

Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02662870

zbMATH Keywords

asymptotic normalityconvergence rateregressioncensored datapartial linear modelleast squares methods\(k\)-nearest neighbor weightsclass \(K\) method

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Cites Work

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• Strong consistency of nearest neighbor regression function estimators
• Trigonometric series regression estimators with an application to partially linear models
• A class of estimators of the parameters in linear regression with censored data
• Least squares regression with censored data

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