Composite Estimation is a small area estimation method that combines direct survey estimates with model-based indirect estimates through a weighted average to improve precision for subnational domains, distinguished by its explicit integration of both design-based and model-based components to balance bias and variance in data-sparse settings.
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Composite likelihood estimation for the Brown-Resnick process
Raphaël Huser, A. C. Davison · Biometrika · 2013 · 122 citations · Full text
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United States Census Bureau
Suitland, United States
6 h-index
12 publications
369 citations
Statistical Research (United States)
Redlands, United States
3 h-index
3 publications
86 citations
George Washington University
Washington, United States
3 h-index
4 publications
61 citations
Dominion (United States)
Cleveland, United States
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2 publications
195 citations
University of Michigan
Ann Arbor, United States
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University of Colorado Boulder
Boulder, United States
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2 publications
180 citations
National Council of Applied Economic Research
New Delhi, India
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2 publications
195 citations
Fudan University
Shanghai, China
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72 citations
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2 publications · 23 citations
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- Annals of the Institute of Statistical Mathematics
1 publications · 24 citations
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- Statistics & Probability Letters
1 publications · 40 citations
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