Comparison of mean squared error estimators under the Fay-Herriot model: application to poverty and percentage of food expenditure data
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Publication:5159559
DOI10.15672/hujms.516601zbMath1488.62010OpenAlexW3005906487MaRDI QIDQ5159559
Jacqueline S. Galpin, Yegnanew A. Shiferaw
Publication date: 28 October 2021
Published in: Hacettepe Journal of Mathematics and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.15672/hujms.516601
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Cites Work
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- A second-order efficient empirical Bayes confidence interval
- Parametric bootstrap methods for bias correction in linear mixed models
- Estimation of mean squared error of model-based small area estimators
- Small area estimation of poverty proportions under area-level time models
- An adjusted maximum likelihood method for solving small area estimation problems
- 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)
- Small Area Estimation
- A Class of Decomposable Poverty Measures
- Area specific confidence intervals for a small area mean under the Fay-Herriot model
- Corrected Confidence Intervals for a Small Area Parameter through the Weighted Estimator under the Basic Area Level Model
- An objective stepwise Bayes approach to small area estimation
- On measuring the variability of small area estimators under a basic area level model
- The Estimation of the Mean Squared Error of Small-Area Estimators
- Estimation and Testing in M‐quantile Regression with Applications to Small Area Estimation
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