Fully Bayesian Benchmarking of Small Area Estimation Models
نویسندگان
چکیده
منابع مشابه
Bayesian Benchmarking with Applications to Small Area Estimation
It is well-known that small area estimation needs explicit, or at least implicit use of models. These model-based estimates can differ widely from the direct estimates, especially for areas with very low sample sizes. While model-based small area estimates are very useful, one potential difficulty with such estimates is that when aggregated, the overall estimate for a larger geographical area m...
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Introduction National statistical bureaus often provide estimates of different small area indicators (e.g., unemployment, average income) at different geographical levels which have been computed using different methods. Spatio-temporal models, for example, take into account different geographic and temporal structures of the data in order to improve estimation. The purpose is to borrow strengt...
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Title of dissertation: THE BAYESIAN AND APPROXIMATE BAYESIAN METHODS IN SMALL AREA ESTIMATION Santanu Pramanik, Doctor of Philosophy, 2008 Dissertation directed by: Professor Partha Lahiri Joint Program in Survey Methodology For small area estimation, model based methods are preferred to the traditional design based methods because of their ability to borrow strength from related sources. The i...
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ژورنال
عنوان ژورنال: Journal of Official Statistics
سال: 2020
ISSN: 2001-7367
DOI: 10.2478/jos-2020-0010