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Two-stage Benchmarking as Applied to Small Area Estimation
Two-stage Benchmarking as Applied to Small Area Estimation
2013/6/14
There has been recent growth in small area estimation due to the need for more precise estimation of small geographic areas, which has led to groups such as the U.S. Census Bureau, Google, and the RAN...
Spatial Fay-Herriot Models for Small Area Estimation with Functional Covariates
American Community Survey Bayesian hierarchical modeling GoogleTrends Spatial statistics Stochastic search variable selection
2013/4/28
The Fay-Herriot (FH) model is widely used in small area estimation and uses auxiliary information to reduce estimation variance at undersampled locations. We extend the type of covariate information u...
Improving both domain and total area estimation by composition
regional statistics small areas mean square error direct and composite estimators
2009/2/23
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 th...
Improving small area estimation by combining surveys:new perspectives in regional statistics
composite estimator complementary survey mean squared error official statistics regional statistics small areas
2009/2/23
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...