Influence of incomplete observations in multiple linear regression

DOI10.1016/0167-7152(89)90012-6zbMath0676.62054OpenAlexW2014051068MaRDI QIDQ1122906

Weichung Joseph Shih

Publication date: 1989

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

Full work available at URL: https://doi.org/10.1016/0167-7152(89)90012-6

zbMATH Keywords

EM algorithmincomplete dataempirical case-deletion distance measuremultiple linear regression problempartial influence functionrandom missing values

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Cites Work

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• A note on the missing value principle and the EM-algorithm for estimation and prediction in sampling from finite populations with a multinormal superpopulation model
• Assessing Influence in Multiple Linear Regression with Incomplete Data
• The Influence Curve and Its Role in Robust Estimation
• Inference and missing data
• Jackknifing in Unbalanced Situations
• Optimum Incomplete Multinormal Samples
• Robust Statistics

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