Mean squared error estimators of small area means using survey weights

DOI10.1002/cjs.10078zbMath1349.62032OpenAlexW2017784796MaRDI QIDQ3086516

Mahmoud Torabi, J. N. K. Rao

Publication date: 30 March 2011

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

Full work available at URL: https://doi.org/10.1002/cjs.10078

zbMATH Keywords

benchmarkingdesign consistencynested error regression modelmean squared error estimation

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (7)

Bayesian predictive inference of a finite population proportion under selection bias ⋮ SMALL AREA ESTIMATION USING SURVEY WEIGHTS WITH FUNCTIONAL MEASUREMENT ERROR IN THE COVARIATE ⋮ Small area estimation using survey weights under a nested error linear regression model with structural measurement error ⋮ An approximate best prediction approach to small area estimation for sheet and rill erosion under informative sampling ⋮ Mixed model prediction and small area estimation. (With comments of P. Hall, D. Morales, C. N. Morris, J. N. K. Rao, and J. L. Eltinge) ⋮ Penalized Weighted Least Squares to Small Area Estimation ⋮ Outlier robust model-assisted small area estimation

Cites Work

• On Parametric Bootstrap Methods for Small Area Prediction
• A pseudo-empirical best linear unbiased prediction approach to small area estimation using survey weights
• The Estimation of the Mean Squared Error of Small-Area Estimators
• Estimation of Finite Population Domain Means
• Unnamed Item

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