A Bayesian predictive inference for small area means incorporating covariates and sampling weights
type: Item
instance of: scholarly article
title: A Bayesian predictive inference for small area means incorporating covariates and sampling weights
zbMATH Open document ID: 1203.62029
author: Ma. Criselda S. Toto
author: Balgobin Nandram
published in: Journal of Statistical Planning and Inference
publication date: 2010-08-19T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5773082
zbMATH Keywords: multivariate normal density
zbMATH Keywords: nested-error regression model
zbMATH Keywords: posterior propriety
zbMATH Keywords: random samples
zbMATH Keywords: small area estimation
zbMATH Keywords: sampling weights
MaRDI profile type: Publication
full work available at URL: j.jspi.2010.03.043
OpenAlex ID: W2082642613
cites work: Bayesian benchmarking with applications to small area estimation
cites work: A Bayesian benchmarking of the Scott–Smith model for small areas
cites work: Q3434204
cites work: A pseudo-empirical best linear unbiased prediction approach to small area estimation using survey weights
cites work: Small area estimation using unmatched sampling and linking models
cites work: Pseudo hierarchical Bayes small area estimation combining unit level models and survey weights
DOI: 10.1016/J.JSPI.2010.03.043
description: scientific article; zbMATH DE number 5773082