Small Area Estimation via Multivariate Fay-Herriot Models with Latent Spatial Dependence

DOI10.1111/anzs.12101zbMath1331.62077arXiv1310.7211OpenAlexW2047446254MaRDI QIDQ2788931

Aaron T. Porter, Christopher K. Wikle, Scott H. Holan

Publication date: 23 February 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1310.7211

zbMATH Keywords

multivariate statisticshierarchical modelBayesianconditional autoregressive modelsurvey methodologyAmerican community surveyGMCAR

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Sampling theory, sample surveys (62D05) Numerical computation of eigenvalues and eigenvectors of matrices (65F15)

Related Items (11)

Custom Epoch Estimation for Surveys ⋮ Corrected empirical Bayes confidence region in a multivariate Fay-Herriot model ⋮ Small area estimation under area-level generalized linear mixed models ⋮ Small area estimation of socioeconomic indicators for sampled and unsampled domains ⋮ Empirical best linear unbiased predictors in multivariate nested-error regression models ⋮ Small area estimation under a measurement error bivariate Fay-Herriot model ⋮ Small area estimation under a temporal bivariate area-level linear mixed model with independent time effects ⋮ Robust estimation of mean squared error matrix of small area estimators in a multivariate Fay-Herriot model ⋮ Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution ⋮ Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model ⋮ Multivariate spatio-temporal models for high-dimensional areal data with application to longitudinal employer-household dynamics

Uses Software

• GMRFLib

Cites Work

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