Benchmarked Estimators for a Small Area Mean Under a Onefold Nested Regression Model

DOI10.1111/insr.12380OpenAlexW3024649583MaRDI QIDQ6088254

No author found.

Publication date: 13 December 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12380

zbMATH Keywords

benchmarkingsmall areaEBLUPpseudo-EBLUP

Mathematics Subject Classification ID

Statistics (62-XX) Parametric inference (62Fxx) Statistical sampling theory and related topics (62Dxx)

Cites Work

• Unnamed Item
• New important developments in small area estimation
• Two-stage benchmarking as applied to small area estimation
• Benchmarked estimates in small areas using linear mixed models with restrictions
• Model assisted survey sampling
• Bayesian benchmarking with applications to small area estimation
• Sampling algorithms.
• Benchmarking, temporal distribution, and reconciliation methods for time series.
• Small Area Estimation
• Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas
• Benchmarking of Economic Time Series
• A pseudo-empirical best linear unbiased prediction approach to small area estimation using survey weights
• Benchmarking Time Series with Autocorrelated Survey Errors
• On Estimation of Mean Squared Errors of Benchmarked Empirical Bayes Estimators
• Benchmarking small area estimators
• The Estimation of the Mean Squared Error of Small-Area Estimators

This page was built for publication: Benchmarked Estimators for a Small Area Mean Under a Onefold Nested Regression Model