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Accession Number
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PB2012-114726
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Title
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Benchmarking Small Area Estimators.
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Publication Date
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Sep 2012
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Media Count
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39p
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Personal Author
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G. S. Datta M. Ghosh W. R. Bell
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Abstract
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This paper considers benchmarking issues in the context of small area estimation. We find optimal estimators within the class of benchmarked linear estimators under either external or internal benchmark constraints. This extends existing results for both external and internal benchmarking, and also provides some links between the two. In addition, necessary and sucient conditions for self-benchmarking are found for an augmented model. Most results of this paper are found using ideas of orthogonal projection.
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Keywords
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Augmented model
Benchmarks
Economic surveys
Estimation
External benchmarking
Internal benchmarking
Orthogonal projection
Small area estimation
Statistical analysis
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Source Agency
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Department of Commerce, Bureau of Census
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NTIS Subject Category
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72F - Statistical Analysis
96 - Business & Economics
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Corporate Author
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Bureau of the Census, Washington, DC. Center for Statistical Research and Methodology.
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Document Type
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Technical report
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Title Note
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N/A
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NTIS Issue Number
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1226
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Contract Number
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N/A
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