Estimation and inference in partially linear models with smoothing splines

DOI10.1016/S0378-3758(00)00197-XzbMath1091.62511WikidataQ126759237 ScholiaQ126759237MaRDI QIDQ5928950

Michael G. Schimek

Publication date: 2000

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

zbMATH Keywords

AlgorithmsAsymptotic biasCorrelationPartially linear modelS-PlusSemiparametric regressionSimulationsSmoothing splineUnbiased risk

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Point estimation (62F10)

Related Items (21)

Constrained estimators of treatment parameters in semiparametric models ⋮ Testing of Multivariate Spline Growth Model ⋮ Spline-based sieve maximum likelihood estimation in the partly linear model under monotonicity constraints ⋮ Low dimensional semiparametric estimation in a censored regression model ⋮ Efficiency of a Liu-type estimator in semiparametric regression models ⋮ A difference based approach to the semiparametric partial linear model ⋮ S-estimator in partially linear regression models ⋮ Unbiased Partial Spline Fitting under Autoregressive Errors ⋮ On the Preliminary Test Backfitting and Speckman Estimators in Partially Linear Models and Numerical Comparisons ⋮ Wavelet estimation of partially linear models ⋮ Performance of Kibria's methods in partial linear ridge regression model ⋮ Liu-type estimator in semiparametric regression models ⋮ Spline-backfitted kernel smoothing of partially linear additive model ⋮ Unnamed Item ⋮ Parametric and semi-parametric approaches in the analysis of short-term effects of air pollution on health ⋮ Ridge-type pretest and shrinkage estimations in partially linear models ⋮ Performance of Wald-type estimator for parametric component in partial linear regression with a mixture of Berkson and classical error models ⋮ Restricted Ridge Estimators of the Parameters in Semiparametric Regression Model ⋮ Rational (Padé) approximation for estimating the components of the partially-linear regression model ⋮ Testing of Growth Curves with Cubic Smoothing Splines ⋮ Wavelet estimation of semiparametric errors in variables model

Uses Software

• sm

Cites Work

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• A practical guide to splines
• Estimation in partially linear models.
• Dependent error regression smoothing: A new method and PC program
• Nonparametric smoothing and lack-of-fit tests
• Non- and semiparametric alternatives to generalized linear models
• Testing the Goodness of Fit of a Linear Model Via Nonparametric Regression Techniques
• Root-N-Consistent Semiparametric Regression
• Residual variance and residual pattern in nonlinear regression
• Confidence Bands in Nonparametric Regression
• Consistent Specification Testing Via Nonparametric Series Regression
• Smoothing noisy data with spline functions

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