Minimax least squares and quasiminimax estimation in linear models with missing values

DOI10.1007/BF00046997zbMath0844.62054OpenAlexW1967450154MaRDI QIDQ1914895

Peter Stahlecker, Michaela Jänner

Publication date: 1 September 1996

Published in: Acta Applicandae Mathematicae (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00046997

zbMATH Keywords

incomplete dataleast squaresnumerical comparisonserrors in variablesminimax estimationprior informationmissing valuesquasi-minimax approach

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Minimax procedures in statistical decision theory (62C20)

Cites Work

• Unnamed Item
• Least squares and least absolute deviation procedures in approximately linear models
• A minimax approach to missing values in linear regression
• A comparison of maximum likelihood and quasi minimax approach to missing values

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