On small-area estimation under two-fold nested error regression models
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Publication:1300927
DOI10.1016/S0378-3758(98)00211-0zbMath0937.62017OpenAlexW2072094170WikidataQ127725835 ScholiaQ127725835MaRDI QIDQ1300927
Publication date: 14 June 2000
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(98)00211-0
variance componentsbest linear unbiased predictionmean-squared errormixed linear modelborrowing strength
Linear regression; mixed models (62J05) Linear inference, regression (62J99) Sampling theory, sample surveys (62D05)
Related Items (7)
Small-area estimation in the presence of area-level correlated responses ⋮ Small Area Estimation-New Developments and Directions ⋮ Estimation of regression models with nested error structure and unequal error variances under two and three stage cluster sampling ⋮ Estimation of poverty and inequality in small areas: review and discussion ⋮ Small area estimation under unit-level temporal linear mixed models ⋮ Penalized calibration in survey sampling: design-based estimation assisted by mixed models ⋮ M-Quantile Small Area Estimation for Panel Data
Cites Work
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- Bayesian prediction in linear models: Applications to small area estimation
- 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
- Transformations for Estimation of Linear Models with Nested-Error Structure
- Approximations for Standard Errors of Estimators of Fixed and Random Effect in Mixed Linear Models
- Best Linear Unbiased Estimation and Prediction under a Selection Model
- Bayesian Versus Frequentist Measures of Error in Small Area Estimation
- The Estimation of the Mean Squared Error of Small-Area Estimators
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