Balanced Repeated Replication is a variance estimation technique in survey statistics that belongs to the class of resampling methods, distinguished by its use of stratified half-samples selected in a balanced manner to ensure uncorrelated replicate estimates and efficient computation of standard errors.
39
Publications
2.5K
Citations
56
Authors
29
Institutions
Publications per year
2017–2026
1
Variants
Brr
Parents
Publications
39
1–5 of 39
Authors
56
- JN
7
h-index
- CW
7
h-index
- JS
4
h-index
- MR
2
h-index
- PM
2
h-index
1–5 of 56
Institutions
29
Carleton University
Ottawa, Canada
8 h-index
8 publications
856 citations
University of Wisconsin–Madison
Madison, United States
7 h-index
7 publications
782 citations
University of Waterloo
Waterloo, Canada
4 h-index
4 publications
303 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
420 citations
Mitchell Institute
Portland, United States
2 h-index
2 publications
21 citations
United States Census Bureau
Suitland, United States
2 h-index
2 publications
115 citations
Texas A&M University
College Station, United States
2 h-index
2 publications
21 citations
Western Michigan University
Kalamazoo, United States
2 h-index
2 publications
156 citations
1–8 of 29
Venues
- Journal of the American Statistical Association
12 publications · 1.1K citations
12
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- Biometrika
4 publications · 184 citations
4
h-index
- The Annals of Statistics
2 publications · 323 citations
2
h-index
- RePEc: Research Papers in Economics
Repository · 2 publications · 57 citations
2
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- Journal of Consumer Affairs
JCA · 1 publications · 27 citations
1
h-index
1–5