The additive model affected by missing completely at random in the covariate

DOI10.1007/BF02892060zbMath1063.62055MaRDI QIDQ1775956

Thomas Nittner

Publication date: 20 May 2005

Published in: Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

missing dataadditive modelimputation methodscomplete case analysisnearest neighbour imputationstochastic mean imputation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Numerical smoothing, curve fitting (65D10) Monte Carlo methods (65C05)

Related Items (1)

Data-driven local bandwidth selection for additive models with missing data

Uses Software

• Fahrmeir

Cites Work

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• Weighted modified first order regression procedures for estimation in linear models with missing \(X\)-observations
• Logistic regression with missing values in the covariates
• Missing at random (MAR) in nonparametric regression -- a simulation experiment
• Linear regression models with incomplete categorical covariates
• Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable
• Jackknife Variance Estimation for Nearest-Neighbor Imputation
• Multivariate statistical modelling based on generalized linear models.

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