- Tytuł:
- An Approximation To The Optimal Subsample Allocation For Small Areas
- Autorzy:
-
Molefe, W. B.
Shangodoyin, D. K.
Clark, R. G. - Powiązania:
- https://bibliotekanauki.pl/articles/973548.pdf
- Data publikacji:
- 2015
- Wydawca:
- Główny Urząd Statystyczny
- Tematy:
-
composite estimation
mean squared error
sample design
small area estimation
sample size allocation
Taylor approximation - Opis:
- This paper develops allocation methods for stratified sample surveys in which small area estimation is a priority. We assume stratified sampling with small areas as the strata. Similar to Longford (2006), we seek efficient allocation that minimizes a linear combination of the mean squared errors of composite small area estimators and of an estimator of the overall mean. Unlike Longford, we define mean-squared error in a model-assisted framework, allowing a more natural interpretation of results using an intra-class correlation parameter. This allocation has an analytical form for a special case, and has the unappealing property that some strata may be allocated no sample. We derive a Taylor approximation to the stratum sample sizes for small area estimation using composite estimation giving priority to both small area and national estimation.
- Źródło:
-
Statistics in Transition new series; 2015, 16, 2; 163-182
1234-7655 - Pojawia się w:
- Statistics in Transition new series
- Dostawca treści:
- Biblioteka Nauki
Artykuł