Small area estimation with multiple covariates measured with errors: a nested error linear regression approach of combining multiple surveys

DOI10.1016/J.JMVA.2018.04.001zbMath1398.62032OpenAlexW2800840470WikidataQ129966514 ScholiaQ129966514MaRDI QIDQ1661330

Mahmoud Torabi, Benmei Liu, J. N. K. Rao, Gauri Sankar Datta

Publication date: 16 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.jmva.2018.04.001

zbMATH Keywords

measurement errorconditional distributionjackknifelinear mixed modelmean squared prediction error

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Sampling theory, sample surveys (62D05) Bootstrap, jackknife and other resampling methods (62F40) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (3)

Estimation of the variance matrix in bivariate classical measurement error models ⋮ Small area estimation under a semi‐parametric covariate measured with error ⋮ Estimation of spatial autoregressive models with covariate measurement errors

Cites Work

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• Small Area Estimation
• Empirical and Hierarchical Bayesian Estimation in Finite Population Sampling under Structural Measurement Error Models
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• Bayesian Estimators for Small Area Models when Auxiliary Information is Measured with Error
• Asymptotic Analysis of Mixed Effects Models
• The Estimation of the Mean Squared Error of Small-Area Estimators

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