Small area estimation using survey weights under a nested error linear regression model with structural measurement error

DOI10.1016/j.jmva.2012.02.015zbMath1241.62010OpenAlexW1995494985MaRDI QIDQ432297

Mahmoud Torabi

Publication date: 4 July 2012

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2012.02.015

zbMATH Keywords

bootstrap methodBayes riskmean squared prediction errordesign consistency

Mathematics Subject Classification ID

Related Items (3)

Likelihood inference in generalized linear mixed measurement error models ⋮ Bayesian estimators in uncertain nested error regression models ⋮ Small area estimation with multiple covariates measured with errors: a nested error linear regression approach of combining multiple surveys

Cites Work

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• On measures of uncertainty of empirical Bayes small-area estimators
• SMALL AREA ESTIMATION USING SURVEY WEIGHTS WITH FUNCTIONAL MEASUREMENT ERROR IN THE COVARIATE
• Mean squared error estimators of small area means using survey weights
• On Parametric Bootstrap Methods for Small Area Prediction
• Empirical and Hierarchical Bayesian Estimation in Finite Population Sampling under Structural Measurement Error Models
• Empirical Bayes Estimation of Small Area Means under a Nested Error Linear Regression Model with Measurement Errors in the Covariates
• 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
• On the impact of bootstrap in survey sampling and small-area estimation

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