Domain Estimation
Domain Estimation is a statistical inference method in survey sampling that focuses on estimating population parameters within specific subpopulations, or domains, defined by categorical characteristics, thereby enabling targeted analysis while accounting for the sampling design and auxiliary information to improve precision.
45
Publications
1.9K
Citations
123
Authors
78
Institutions
Publications per year
2017–2026
9
Variants
Subpopulation Estimation
45
1–5 of 45
123
3
h-index
3
h-index
2
h-index
2 publications · 146 citations
2
h-index
2
h-index
1–5 of 123
78
Statistics Canada
Ottawa, Canada
3 h-index
4 publications
234 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
5 publications
141 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
34 citations
Kyungpook National University
Daegu, South Korea
2 h-index
2 publications
110 citations

University of Belgrade
Belgrade, Serbia
2 h-index
2 publications
43 citations
Université de Montréal
Montreal, Canada
2 h-index
2 publications
56 citations
University of Florida
Gainesville, United States
2 h-index
2 publications
110 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
1 h-index
2 publications
100 citations
1–8 of 78
6 publications · 216 citations
6
h-index
2 publications · 72 citations
2
h-index
1 publications · 91 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 56 citations
1
h-index
1–5