Approximate Standard Errors in Semiparametric Models

DOI10.1111/j.0006-341X.1999.00699.xzbMath1059.62536OpenAlexW2169652004WikidataQ52085481 ScholiaQ52085481MaRDI QIDQ4666632

Iain D. Currie, María Durbán, Christine A. Hackett

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.1999.00699.x

zbMATH Keywords

smoothing splinessemiparametric modellocally weighted regressionadditive modelstandard errorback-fitting algorithmLoess

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08)

Related Items (4)

A note on P-spline additive models with correlated errors ⋮ Constrained estimators of treatment parameters in semiparametric models ⋮ On the Preliminary Test Backfitting and Speckman Estimators in Partially Linear Models and Numerical Comparisons ⋮ Smoothing fertility trends in agricultural field experiments

Uses Software

• GenStat

Cites Work

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• Linear smoothers and additive models
• Convergence rates for partially splined models
• Generalized Additive Models: Some Applications
• Robust Locally Weighted Regression and Smoothing Scatterplots

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