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Prediction of a Small Area Mean for an Infinite Population when the Variance Components Are Random

  • Stefan, Marius

    ()

    (Polytechnic University of Bucharest, Free University of Brussels)

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    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 and an estimator whose bias is of order for its mean squared error, where m is the number of small areas in the population.

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    File URL: http://www.ipe.ro/rjef/rjef3_09/rjef3_09_2.pdf
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    Article provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.

    Volume (Year): 6 (2009)
    Issue (Month): 3 (September)
    Pages: 22-33

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    Handle: RePEc:rjr:romjef:v:6:y:2009:i:3:p:22-33
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