Root-\(n\)-consistent and efficient estimation in semiparametric additive regression models

DOI10.1016/0167-7152(95)00200-6zbMath0903.62035OpenAlexW2039581707MaRDI QIDQ1129459

Anton Schick

Publication date: 6 January 1999

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

Full work available at URL: https://doi.org/10.1016/0167-7152(95)00200-6

zbMATH Keywords

least dispersed regular estimatorleast squares spline estimatorsemiparametric additive regression model

Mathematics Subject Classification ID

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

Related Items (9)

Low dimensional semiparametric estimation in a censored regression model ⋮ On partial linear additive isotonic regression ⋮ Testing for additivity in partially linear regression with possibly missing responses ⋮ Uniform convergence rate of estimators of autocovariances in partly linear regression models with correlated errors ⋮ Goodness-of-fit tests in semi-linear models ⋮ An efficient marginal integration estimator of a semiparametric additive modelling ⋮ Some developments in semiparametric statistics ⋮ The transfer principle: a tool for complete case analysis ⋮ Tests against inequality constraints in semiparametric models

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