A BLUP Synthetic Versus an EBLUP Estimator: An Empirical Study of a Small Area Estimation Problem

DOI10.1080/02664760600994893zbMath1119.62309OpenAlexW2008856962MaRDI QIDQ3592666

T. Goicoa, Ana F. Militino, Maria Dolores Ugarte

Publication date: 13 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760600994893

zbMATH Keywords

mean squared errorfinite populationmixed modelsprediction theorybusiness survey

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (3)

Adjusting economic estimates in business surveys ⋮ Estimating the percentage of food expenditure in small areas using bias-corrected \(P\)-spline based estimators ⋮ Benchmarked estimates in small areas using linear mixed models with restrictions

Cites Work

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• Estimation of regression models with nested error structure and unequal error variances under two and three stage cluster sampling
• Small area estimation: an appraisal. With comments and a rejoinder by the authors
• Estimation of Median Income of Four-Person Families: A Bayesian Time Series Approach
• Mixed Models
• Small Area Estimation-New Developments and Directions
• The Estimation of the Mean Squared Error of Small-Area Estimators

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