Design-based Small Area Estimation
Design-Based Small Area Estimation is a small area estimation approach that relies on the sampling design for inference, distinguishing itself from model-based methods by deriving validity from the randomization distribution induced by the selected probability sampling mechanism.
29
Publications
1.6K
Citations
47
Authors
26
Institutions
Publications per year
2017–2026
3
Parents
29
New Important Developments in Small Area Estimation
Danny Pfeffermann · Statistical Science · 2013 · 420 citations · Full text
Mixed model prediction and small area estimation
Jiming Jiang, Partha Lahiri · Test · 2006 · 328 citations
Bayesian benchmarking with applications to small area estimation
Gauri Sankar Datta, Malay Ghosh, Rebecca C. Steorts et al. · Test · 2010 · 67 citations
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26
ETH Zurich
Zurich, Switzerland
3 h-index
4 publications
123 citations

Universidad Carlos III de Madrid
Madrid, Spain
2 h-index
3 publications
70 citations

Universidad Pública de Navarra (UPNA)
Pamplona, Spain
2 h-index
6 publications
75 citations
University of Florida
Gainesville, United States
2 h-index
5 publications
296 citations

Universität Trier
Trier, Germany
2 h-index
5 publications
80 citations
University of Southampton
Southampton, United Kingdom
2 h-index
3 publications
662 citations
United States Census Bureau
Suitland, United States
2 h-index
5 publications
339 citations

Carleton University
Ottawa, Canada
2 h-index
2 publications
68 citations
1–8 of 26
CSDA · 4 publications · 83 citations
4
h-index
3 publications · 459 citations
3
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3 publications · 423 citations
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JOS · 2 publications · 40 citations
2
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Repository · 2 publications · 56 citations
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1–5