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Accession Number PB2012-114726
Title Benchmarking Small Area Estimators.
Publication Date Sep 2012
Media Count 39p
Personal Author G. S. Datta M. Ghosh W. R. Bell
Abstract 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.
Keywords Augmented model
Economic surveys
External benchmarking
Internal benchmarking
Orthogonal projection
Small area estimation
Statistical analysis

Source Agency Department of Commerce, Bureau of Census
NTIS Subject Category 72F - Statistical Analysis
96 - Business & Economics
Corporate Author Bureau of the Census, Washington, DC. Center for Statistical Research and Methodology.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1226
Contract Number N/A

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