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Nested Error Non-parametric Unit Level Model performance in the context of empirical Bayes (EB) approach

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  • Patrick Munyangabo
  • Anthony Waititu
  • Anthony Kibira Wanjoya

Abstract

In this paper, we assess the performance of the proposed model compared with the standard unit-level model, the performance of both models were evaluated in the case of skewed data. The empirical Bayes (EB) estimates obtained under both models were compared through different criteria proposed by the panel on small area estimates of population and income set up by the United States Committee on National Statistics in 1978 and the proposed model was found to fit better than the standard one. The MSE for both models were checked using the bootstrap technique and the proposed model win over the standard model at each bootstrap iterations.Keywords: Small area estimation

Suggested Citation

  • Patrick Munyangabo & Anthony Waititu & Anthony Kibira Wanjoya, 2019. "Nested Error Non-parametric Unit Level Model performance in the context of empirical Bayes (EB) approach," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(3), pages 1-3.
    • Handle: RePEc:spt:stecon:v:8:y:2019:i:3:f:8_3_3
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    1. Patrick Munyangabo & Anthony Waititu & Anthony Kibira Wanjoya, 2019. "Estimation of Nested Error Non-parametric Unit Level Model," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(1), pages 1-3.
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    Cited by:

    1. Ye, Yuan & Lu, Yonggang & Robinson, Powell & Narayanan, Arunachalam, 2022. "An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control," European Journal of Operational Research, Elsevier, vol. 303(1), pages 255-272.

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      Keywords

      small area estimation;

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