Weighted modified first order regression procedures for estimation in linear models with missing \(X\)-observations

DOI10.1007/BF02929881zbMath0937.62068OpenAlexW2049817730MaRDI QIDQ1297660

Andreas Fieger, Helge Toutenbourg, Virendra K. Srivastava

Publication date: 14 June 2000

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02929881

zbMATH Keywords

missing observationsimputationmulticollinearity

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (1)

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

Cites Work

• The use of incomplete observations in multiple regression analysis. A generalized least squares approach
• Linear models. Least squares and alternatives
• Inference and missing data
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