Density adjusted kernel smoothers for random design nonparametric regression
type: Item
instance of: scholarly article
title: Density adjusted kernel smoothers for random design nonparametric regression
zbMATH Open document ID: 0893.62026
DOI: 10.1016/S0167-7152(97)00059-X
published in: Statistics \& Probability Letters
publication date: 1998-08-24T00:00:00Z
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 1133131
zbMATH Keywords: asymptotic mean-squared error
zbMATH Keywords: convolution-type estimator
zbMATH Keywords: linear unbiasedness
zbMATH Keywords: local asymptotic normality
zbMATH Keywords: locally weighted least-squares
zbMATH Keywords: quotient-type estimator
zbMATH Keywords: kernel estimators
zbMATH Keywords: nonparametric regression
author: Hans-Georg Müller
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 1133131