Model-Assisted Sampling is a sampling design in survey methodology that incorporates auxiliary information through a statistical model to improve the precision of estimators, while remaining design-consistent through randomization-based inference.
36
Publications
2.4K
Citations
91
Authors
61
Institutions
Publications per year
2017–2026
8
Variants
Model-assisted Survey Sampling
Parents
Publications
36
1–5 of 36
Authors
91
- EN
2
h-index
- DB
2
h-index
- KJ
2
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- MS
2
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- TG
2
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1–5 of 91
Institutions
61
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
88 citations
Wageningen University & Research
Wageningen, The Netherlands
2 h-index
3 publications
65 citations
University of Maryland, College Park
College Park, United States
2 h-index
10 publications
250 citations
Carleton University
Ottawa, Canada
2 h-index
3 publications
160 citations
Norwegian University of Life Sciences
Ås, Norway
2 h-index
5 publications
82 citations
University of Massachusetts Amherst
Amherst Center, United States
2 h-index
2 publications
88 citations
Pennsylvania State University
State College, United States
1 h-index
2 publications
286 citations
Institute of Agricultural Resources and Regional Planning
Beijing, China
1 h-index
6 publications
60 citations
1–8 of 61
Venues
- Statistical Science
4 publications · 955 citations
4
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- Canadian Journal of Forest Research
3 publications · 374 citations
3
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- Journal of the American Statistical Association
3 publications · 128 citations
3
h-index
- Biometrika
2 publications · 123 citations
2
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- Forest Science
2 publications · 24 citations
2
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1–5