B-spline estimation of regression functions with errors in variable
type: Item
instance of: scholarly article
title: B-spline estimation of regression functions with errors in variable
zbMATH Open document ID: 0933.62032
DOI: 10.1016/S0167-7152(98)00098-4
author: Ja-Yong Koo
author: Kee Won Lee
published in: Statistics \& Probability Letters
publication date: 2000-02-08T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 1368761
zbMATH Keywords: B-splines
zbMATH Keywords: characteristic function
zbMATH Keywords: Fourier transform
zbMATH Keywords: nonparametric regression
zbMATH Keywords: reproducing line property
zbMATH Keywords: deconvolution
zbMATH Keywords: rate of convergence
MaRDI profile type: Publication
cites work: Asymptotic integrated mean square error using least squares and bias minimizing splines
cites work: Estimating linear statistical relationships
cites work: Efficient estimation in the errors in variables model
cites work: A practical guide to splines
cites work: Fitting additive models to regression data. Diagnostics and alternative views
cites work: Q4888734
cites work: Q4003151
cites work: Nonparametric regression with errors in variables
cites work: Multivariate adaptive regression splines
cites work: Flexible Parsimonious Smoothing and Additive Modeling
cites work: Q4003037
cites work: Bivariate B-splines in generalised linear models
cites work: Q3895980
cites work: Covariate measurement error in logistic regression
cites work: Q3769790
cites work: Deconvolution-based score tests in measurement error models
cites work: Additive regression and other nonparametric models
cites work: The use of polynomial splines and their tensor products in multivariate function estimation. (With discussion)
full work available at URL: s0167-7152(98)00098-4
OpenAlex ID: W1972853498
description: scientific article; zbMATH DE number 1368761