Small area estimation using unmatched sampling and linking models
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Publication:3148208
DOI10.2307/3315862zbMath0999.62006OpenAlexW2084634105MaRDI QIDQ3148208
Publication date: 30 September 2002
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/3315862
Gibbs samplingsmall area estimationlog transformationarea level modelcensus undercoveragehierarchical Bayes approachunmatched model
Related Items (15)
Small area estimation via unmatched sampling and linking models ⋮ Small area estimation with mixed models: a review ⋮ A Bayesian benchmarking of the Scott–Smith model for small areas ⋮ Small area estimation of the Gini concentration coefficient ⋮ Estimation of poverty and inequality in small areas: review and discussion ⋮ Small Area Estimation for Disease Prevalence Mapping ⋮ Hierarchical Bayes estimation of small area means under a spatial nonstationary Fay–Herriot model ⋮ A Spatial Variance‐Smoothing Area Level Model for Small Area Estimation of Demographic Rates ⋮ Hierarchical Bayes multivariate estimation of poverty rates based on increasing thresholds for small domains ⋮ Hierarchical Bayes estimation of spatial statistics for rates ⋮ Impact of frequentist and Bayesian methods on survey sampling practice: a selective appraisal ⋮ Model-Based Estimation of Unemployment Rates in Small Areas of Portugal ⋮ Properties of the beta regression model for small area estimation of proportions and application to estimation of poverty rates ⋮ Small Area Estimation via Multivariate Fay-Herriot Models with Latent Spatial Dependence ⋮ A Bayesian predictive inference for small area means incorporating covariates and sampling weights
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