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

Author

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  • Marius Stefan

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.

Suggested Citation

  • Marius Stefan, 2009. "Prediction of a small area mean for an infinite population when the variance components are random," ULB Institutional Repository 2013/184824, ULB -- Universite Libre de Bruxelles.
    • Handle: RePEc:ulb:ulbeco:2013/184824
    Note: SCOPUS: ar.j
    as

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