Missing Values in Linear Regression: Imputations Using An Error-Contaminated Linear Predictor

DOI10.1080/03610926.2012.748918zbMath1328.62477OpenAlexW2039676849MaRDI QIDQ5265863

Sugata Sen Roy, Sibnarayan Guria

Publication date: 29 July 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.748918

zbMATH Keywords

missing observationsimputationresidualslinear predictorDFFIT

Mathematics Subject Classification ID

Diagnostics, and linear inference and regression (62J20)

Cites Work

• Comparison of Two Estimation Methods of Missing Values Using Pitman-Closeness Criterion
• Fully conditional specification in multivariate imputation

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