Random Sampling
Random Sampling is a probabilistic method in randomized computation that selects elements from a population according to a uniform or specified probability distribution, ensuring each element has a non-zero chance of inclusion to produce unbiased estimates of population parameters.
7.5K
Publications
438.8K
Citations
23.1K
Authors
5.2K
Institutions
Publications per year
2017–2026
2.2K
7.5K
Statistical tests of neutrality of mutations.
Yun Fu, Wen‐Hsiung Li · Genetics · 1993 · 4.1K citations · Full text
Karl Pearson · The London Edinburgh and Dublin Philosophical Magazine and Journal of Science · 1900 · 4K citations
Case Selection Techniques in Case Study Research
Jason Seawright, John Gerring · Political Research Quarterly · 2008 · 3.6K citations
Education, Strategy, Case Finding +10
1–5 of 7.5K
23.1K
14
h-index
14
h-index
12
h-index
11
h-index
10
h-index
1–5 of 23.1K
5.2K
Stanford University
Stanford, United States
29 h-index
81 publications
10.9K citations
University of Michigan
Ann Arbor, United States
28 h-index
102 publications
10.2K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
27 h-index
96 publications
8.5K citations

University of Toronto
Toronto, Canada
27 h-index
77 publications
11.3K citations
University of California, Berkeley
Berkeley, United States
27 h-index
57 publications
4.8K citations
University College London
London, United Kingdom
25 h-index
63 publications
8.4K citations
University of Washington
Seattle, United States
25 h-index
60 publications
8.2K citations
Harvard University
Cambridge, United States
24 h-index
71 publications
5.7K citations
1–8 of 5.2K
Repository · 434 publications · 16.6K citations
60
h-index
68 publications · 4K citations
33
h-index
47 publications · 10.9K citations
29
h-index
37 publications · 2.3K citations
27
h-index
JPH · 30 publications · 2.2K citations
22
h-index
1–5