Density adjusted kernel smoothers for random design nonparametric regression

DOI10.1016/S0167-7152(97)00059-XzbMath0893.62026MaRDI QIDQ1382239

Hans-Georg Müller

Publication date: 24 August 1998

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

zbMATH Keywords

kernel estimatorslocal asymptotic normalitynonparametric regressionasymptotic mean-squared errorconvolution-type estimatorlinear unbiasednesslocally weighted least-squaresquotient-type estimator

Mathematics Subject Classification ID

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

Related Items

Kernel regression estimators for nonparametric model calibration in survey sampling, Data sharpening methods for bias reduction in nonparametric regression., Nonparametric kernel regression subject to monotonicity constraints

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