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Articles, 4 records found
Articles 4 records found  
1.
20 p, 444.0 KB On the performance of small-area estimators : fixed vs. random area parameters / Costa, Àlex ; Satorra, Albert ; Ventura, Eva
Most methods for small-area estimation are based on composite estimators derived from designor model-based methods. A composite estimator is a linear combination of a direct and an indirect estimator with weights that usually depend on unknown parameters which need to be estimated. [...]
2009
SORT : statistics and operations research transactions, Vol. 33, Núm. 1 (January-June 2009) , p. 85-104  
2.
22 p, 220.2 KB Improving small area estimation by combining surveys : new perspectives in regional statistics / Costa, Àlex (Institut d'Estadística de Catalunya) ; Satorra, Albert (Universitat Pompeu Fabra) ; Ventura, Eva (Universitat Pompeu Fabra)
A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province. Budget constraints do not allow a greater sample size for the small area, and so other means of improving estimation have to be devised. [...]
2006
SORT : statistics and operations research transactions, Vol. 30, Núm. 1 (January-June 2006) , p. 101-122  
3.
18 p, 256.1 KB Improving both domain and total area estimation by composition / Costa, Àlex (Institut d'Estadística de Catalunya) ; Satorra, Albert (Universitat Pompeu Fabra) ; Ventura, Eva (Universitat Pompeu Fabra)
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. [...]
2004
SORT : statistics and operations research transactions, Vol. 28, Núm. 1 (January-June 2004) , p. 69-86  
4.
23 p, 294.2 KB An empirical evaluation of five small area estimators / Costa, Àlex (Institut d'Estadística de Catalunya) ; Satorra, Albert (Universitat Pompeu Fabra) ; Ventura, Eva (Universitat Pompeu Fabra)
This paper compares five small area estimators. We use Monte Carlo simulation in the context of both artificial and real populations. In addition to the direct and indirect estimators, we consider the optimal composite estimator with population weights, and two composite estimators with estimated weights: one that assumes homogeneity of within area variance and squared bias and one that uses area-specific estimates of variance and squared bias. [...]
2003
SORT : statistics and operations research transactions, Vol. 27, Núm. 1 (January-June 2003) , p. 113-136  

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13 Ventura, Enric
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