A comparison of maximum likelihood and quasi minimax approach to missing values

DOI10.1080/03610929308831022zbMath0800.62372OpenAlexW1997007078MaRDI QIDQ4275152

Peter Stahlecker, Michaela Jänner

Publication date: 23 January 1994

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

Full work available at URL: https://doi.org/10.1080/03610929308831022

zbMATH Keywords

maximum likelihood estimationminimax estimationprior informationmissing valueslinear regression model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (1)

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

Cites Work

• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Unnamed Item

This page was built for publication: A comparison of maximum likelihood and quasi minimax approach to missing values