A mixed model-assisted regression estimator that uses variables employed at the design stage

DOI10.1007/s10260-006-0006-8zbMath1157.62319OpenAlexW2082712790MaRDI QIDQ1001722

Giorgio E. Montanari, Maria Giovanna Ranalli

Publication date: 24 February 2009

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-006-0006-8

zbMATH Keywords

finite populationauxiliary informationREMLoptimal estimatordesign based approach

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Sampling theory, sample surveys (62D05)

Related Items (2)

Mixed model regression estimation of a spatial total in the continuous plane paradigm ⋮ Survey design asymptotics for the model-assisted penalised spline regression estimator

Cites Work

• Model assisted survey sampling
• Post-Sampling Efficient QR-Prediction in Large-Sample Surveys
• Model-assisted estimation for complex surveys using penalised splines
• Survey Design Under the Regression Superpopulation Model

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