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

DOI10.1016/0167-7152(86)90036-2zbMath0594.62009OpenAlexW2063509281MaRDI QIDQ1077097

Josemar Rodriguez, Shelemyahu Zacks

Publication date: 1986

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

Full work available at URL: https://doi.org/10.1016/0167-7152(86)90036-2

zbMATH Keywords

predictorestimationfixed pointEM-algorithmfinite populationspopulation totalMVPmaximum likelihood predictormissing value principlesuperpopulation multinormal model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Sampling theory, sample surveys (62D05)

Related Items (3)

Some shrunken predictors in finite populations with a multinormal superpopulation model ⋮ Influence of incomplete observations in multiple linear regression ⋮ A conversation with Shelemyahu Zacks

Cites Work

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• On the convergence properties of the EM algorithm
• Robust Linear Prediction in Finite Populations
• Likelihood functions in finite population sampling theory

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