Robust hierarchical Bayes estimation of small area characteristics in the presence of covariates and outliers

DOI10.1006/JMVA.1995.1059zbMath0863.62025OpenAlexW1974172175MaRDI QIDQ1898411

Gauri Sankar Datta, Parthasarathi Lahiri

Publication date: 3 June 1997

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmva.1995.1059

zbMATH Keywords

outliersempirical Bayesshrinkage estimatorcovariatesBayes estimatorsscale mixtureslimited translation estimatorst-distributionCauchy prior distributionnormal prior distributionsrobust hierarchical Bayes estimationsmall area means

Mathematics Subject Classification ID

Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35) Sampling theory, sample surveys (62D05)

Related Items (11)

Small area estimation with mixed models: a review ⋮ An overview of robust Bayesian analysis. (With discussion) ⋮ Robust Hierarchical Bayes Small Area Estimation for the Nested Error Linear Regression Model ⋮ A new robust Bayesian small area estimation via ‐stable model for estimating the proportion of athletic students in California ⋮ Bayesian analysis for outliers in survey sampling ⋮ Robust generalized linear mixed models for small area estimation ⋮ Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors ⋮ Robust small area estimation ⋮ Robust linear mixed models for small area estimation ⋮ Multilevel time-series models for small area estimation at different frequencies and domain levels ⋮ Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation

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