Improving both domain and total area estimation by composition.

Título inglés	Improving both domain and total area estimation by composition.
Título español	Mejora mediante composición de la estimación en dominios y en el área total.
Autor/es	Costa, Alex ; Satorra, Albert ; Ventura, Eva
Organización	Inst. Estad. Catalunya (Idescat), Barcelona, España;Univ. Pompeu Fabra, Barcelona, España
Revista	1696-2281
Publicación	2004, 28 (1): 69-86, 9 Ref.
Tipo de documento	articulo
Idioma	Inglés
Resumen inglés	In this article we propose small area estimators for both the small and large area parameters. When the objective is to estimate parameters at both levels, optimality is achieved by a sample design that combines fixed and proportional allocation. In such a design, one fraction of the sample is distributed proportionally among the small areas and the rest is evenly distributed. Simulation is used to assess the performance of the direct estimator and two composite small area estimators, for a range of sample sizes and different sample distributions. Performance is measured in terms of mean squared errors for both small and large area parameters. Small area composite estimators open the possibility of reducing the sample size when the desired precision is given, or improving precision for a given sample size.
Clasificación UNESCO	120913
Palabras clave español	Regresión lineal ; Estimación en áreas pequeñas
Código MathReviews	MR2076037
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