Robust Small Area Estimation
Robust Small Area Estimation is a statistical methodology within small area estimation that specifically addresses the challenge of producing reliable and stable estimates for subnational or subpopulation groups in the presence of outliers, model misspecification, or data contamination, by incorporating techniques designed to minimize the influence of aberrant observations while maintaining efficiency under standard assumptions.
53
Publications
2K
Citations
69
Authors
54
Institutions
Publications per year
2017–2026
8
Parents
53
1–5 of 53
69
13
h-index
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h-index
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54

University of Pisa
Pisa, Italy
12 h-index
21 publications
917 citations

University of Wollongong
Wollongong, Australia
9 h-index
11 publications
510 citations
University of Southampton
Southampton, United Kingdom
9 h-index
9 publications
368 citations
University of Nebraska–Lincoln
Lincoln, United States
6 h-index
6 publications
341 citations

Carleton University
Ottawa, Canada
5 h-index
8 publications
524 citations

Università Cattolica del Sacro Cuore
Milan, Italy
3 h-index
3 publications
63 citations
Freie Universität Berlin
Berlin, Germany
3 h-index
4 publications
70 citations
University of Florida
Gainesville, United States
3 h-index
3 publications
152 citations
1–8 of 54
Repository · 4 publications · 120 citations
4
h-index
4 publications · 164 citations
4
h-index
4 publications · 303 citations
4
h-index
3 publications · 73 citations
3
h-index
CJS · 3 publications · 167 citations
3
h-index
1–5