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Abstract Details
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Activity Number:
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66
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #305110 |
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Title:
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Benchmarked Small Area Prediction
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Author(s):
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Wayne A. Fuller and Emily J Berg and Andreea Erciulescu*+
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Companies:
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Iowa State University and National Agricultural Statistics Service and Iowa State University
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Address:
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Snedecor Hall, Ames, IA, 50011,
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Keywords:
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Restricted estimation ;
Calibration ;
Mixed linear models ;
Best linear unbiased prediction ;
Self-calibrated
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Abstract:
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Small area estimation often involves constructing predictions with an estimated model followed by a benchmarking step. In the benchmarking operation the predictions are modified so that weighted sums satisfy constraints. The most common constraint is the constraint that a weighted sum of the predictions is equal to the same weighted sum of the original observations. Augmented models as a method of imposing the constraint are investigated for both linear and nonlinear models. Variance estimators for benchmarked predictors are presented.
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Authors who are presenting talks have a * after their name.
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