Abstract
In this article we consider general mixed models to derive small area estimators. The fixed part of the models links the area parameters to the auxiliary variables using a shrinkage region. We show how the selection of the shrinkage region depends on two main factors: the inter-area variation and the correlation coefficient of the auxiliaries with the response.
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Rueda, C., Menéndez, J.A., Gómez, F.: Small area estimators based on restricted mixed models (submitted for publication, 2010) doi:10.1007/s117489-010-0186- 2
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Rueda, C., Menéndez, J.A. (2010). The Selection of the Shrinkage Region in Small Area Estimation. In: Borgelt, C., et al. Combining Soft Computing and Statistical Methods in Data Analysis. Advances in Intelligent and Soft Computing, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14746-3_68
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DOI: https://doi.org/10.1007/978-3-642-14746-3_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14745-6
Online ISBN: 978-3-642-14746-3
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