Prediction of a small area mean for an infinite population when the variance components are random

Marius Stefan

ULB Institutional Repository from ULB -- Universite Libre de Bruxelles

Abstract: In this paper, we propose a new model with random variance components for estimating small area characteristics. Under the proposed model, we derive the empirical best linear unbiased estimator, an approximation to terms of order o(1/ m) and an estimator whose bias is of order o(1/ m) for its mean squared error, where m is the number of small areas in the population.

Keywords: Direct and indirect estimation; Empirical best linear unbiased predictor; Infinite population; Small areas (search for similar items in EconPapers)
Date: 2009
Note: SCOPUS: ar.j
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Published in: Romanian Journal of Economic Forecasting (2009) v.11 n° 3,p.22-33

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Persistent link: https://EconPapers.repec.org/RePEc:ulb:ulbeco:2013/184824

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