Título:
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Improving both domain and total area estimation by composition
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Autor/a:
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Costa, Àlex; Satorra, Albert; Ventura, Eva
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Abstract:
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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. |
Materia(s):
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-Regional statistics -Small areas -Mean square error -Direct and composite estimators |
Derechos:
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open access
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
https://creativecommons.org/licenses/by-nc-nd/3.0/ |
Tipo de documento:
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Article |
Editor:
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Compartir:
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Uri:
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https://ddd.uab.cat/record/93941
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