SMALL AREA ESTIMATION USING SURVEY WEIGHTS WITH FUNCTIONAL MEASUREMENT ERROR IN THE COVARIATE

DOI10.1111/j.1467-842X.2011.00623.xzbMath1274.62104MaRDI QIDQ2892455

Mahmoud Torabi

Publication date: 18 June 2012

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

zbMATH Keywords

jackknifeBayes riskmean squared prediction errordesign consistencynested error regression modelpseudo-empirical Bayes predictor

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15) Sampling theory, sample surveys (62D05) Bootstrap, jackknife and other resampling methods (62F40) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (6)

Likelihood inference in generalized linear mixed measurement error models ⋮ Constrained Bayes estimation in small area models with functional measurement error ⋮ Small area estimation with multiple covariates measured with errors: a nested error linear regression approach of combining multiple surveys ⋮ Small area estimation under a semi‐parametric covariate measured with error ⋮ Small area estimation using survey weights under a nested error linear regression model with structural measurement error ⋮ Pseudo‐empirical Bayes estimation of small area means based on James–Stein estimation in linear regression models with functional measurement error

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