Sampling Theory
Sampling Theory is a branch of statistics that systematically studies the principles and methods for selecting representative subsets of a population to enable valid inferences about mineral resource distributions, distinguishing itself by its focus on spatial, economic, and geologic constraints inherent in mineral resource estimation.
12.5K
Publications
1M
Citations
22.2K
Authors
4.9K
Institutions
Publications per year
2017–2026
2.1K
12.5K
How Many Interviews Are Enough?
Greg Guest, Arwen Bunce, Laura Johnson · Field Methods · 2005 · 19.4K citations
Monte Carlo sampling methods using Markov chains and their applications
W. Keith Hastings · Biometrika · 1970 · 15.2K citations
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Pohang University of Science and Technology, South Korea
55 publications · 1.8K citations
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University of Michigan
Ann Arbor, United States
64 h-index
302 publications
25.2K citations
Stanford University
Stanford, United States
57 h-index
230 publications
31.7K citations

Cornell University
Ithaca, United States
47 h-index
168 publications
25K citations
University of California, Berkeley
Berkeley, United States
46 h-index
135 publications
12.4K citations
United States Geological Survey
Reston, United States
42 h-index
127 publications
19.1K citations
University of Wisconsin–Madison
Madison, United States
40 h-index
167 publications
19.9K citations
Massachusetts Institute of Technology
Cambridge, United States
38 h-index
145 publications
12.5K citations
Harvard University
Cambridge, United States
37 h-index
119 publications
11.4K citations
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491 publications · 54.1K citations
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POQ · 163 publications · 23.6K citations
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198 publications · 32.4K citations
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131 publications · 20.5K citations
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188 publications · 28.3K citations
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