Statistical Sampling Design is a formal framework within the methodology of data collection that specifies the procedures, criteria, and structure for selecting a representative subset of observations from a larger population to enable valid statistical inference.
656
Publications
66.9K
Citations
1.3K
Authors
571
Institutions
Publications per year
2017–2026
78
Parents
Publications
656
1–5 of 656
Authors
1.3K
- LK
9
h-index
- AI
9
h-index
- JN
7
h-index
- SB
6
h-index
- TF
5
h-index
1–5 of 1.3K
Institutions
571
Iowa State University
Ames, United States
12 h-index
15 publications
12.8K citations
University of Michigan
Ann Arbor, United States
12 h-index
23 publications
1.8K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
10 h-index
22 publications
721 citations
United States Census Bureau
Suitland, United States
10 h-index
18 publications
935 citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
32 publications
4.8K citations
University of California, Los Angeles
Los Angeles, United States
7 h-index
9 publications
959 citations
Carleton University
Ottawa, Canada
6 h-index
7 publications
162 citations
Harvard University
Cambridge, United States
6 h-index
8 publications
408 citations
1–8 of 571
Venues
- Journal of the American Statistical Association
56 publications · 12.1K citations
30
h-index
- Technometrics
21 publications · 18.7K citations
15
h-index
- Biometrika
16 publications · 673 citations
13
h-index
- PubMed
Repository · 13 publications · 927 citations
12
h-index
- Communication in Statistics- Theory and Methods
14 publications · 329 citations
12
h-index
1–5