Bayesian benchmarking with applications to small area estimation
type: Item
instance of: scholarly article
title: Bayesian benchmarking with applications to small area estimation
zbMATH Open document ID: 1274.62197
author: Gauri Sankar Datta
author: Malay Ghosh
author: Rebecca C. Steorts
author: Jerry J. Maples
published in: Test
publication date: 2012-11-15T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 62H11
Mathematics Subject Classification ID: 62P25
zbMATH DE Number: 6106939
zbMATH Keywords: area-level
zbMATH Keywords: penalty parameter
zbMATH Keywords: two-stage
zbMATH Keywords: weighted mean
zbMATH Keywords: weighted variability
MaRDI profile type: Publication
full work available at URL: s11749-010-0218-y
OpenAlex ID: W2071473941
cites work: Statistical decision theory and Bayesian analysis. 2nd ed
cites work: Q4488852
cites work: On measuring the variability of small area estimators under a basic area level model
cites work: Batch means and spectral variance estimators in Markov chain Monte Carlo
cites work: Constrained Bayes Estimation With Applications
cites work: Regression Analysis of Data from a Cluster Sample
cites work: Q3434204
cites work: The Estimation of the Mean Squared Error of Small-Area Estimators
cites work: A Bayesian predictive inference for small area means incorporating covariates and sampling weights
cites work: A pseudo-empirical best linear unbiased prediction approach to small area estimation using survey weights
cites work: Pseudo hierarchical Bayes small area estimation combining unit level models and survey weights
cites work: Bayesian analysis in econometrics
cites work: Q4284855
DOI: 10.1007/S11749-010-0218-Y
description: scientific article; zbMATH DE number 6106939