Resampling Techniques
Resampling Techniques is a statistical methodology that involves repeatedly drawing samples from a given dataset to estimate the sampling distribution of a statistic, thereby enabling inference through empirical approximation rather than analytical derivation.
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Bootstrap Methods: Another Look at the Jackknife
B. Efron · The Annals of Statistics · 1979 · 17.4K citations · Full text
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University of California San Diego, United States
26 publications · 5.5K citations
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Stanford University
Stanford, United States
44 h-index
100 publications
31.8K citations
University of California, Berkeley
Berkeley, United States
28 h-index
72 publications
10.6K citations

Australian National University
Canberra, Australia
26 h-index
66 publications
3.7K citations
University of California San Diego
San Diego, United States
23 h-index
48 publications
2.8K citations
University of Michigan
Ann Arbor, United States
22 h-index
54 publications
4.9K citations

Centre National de la Recherche Scientifique
Paris, France
19 h-index
41 publications
1.5K citations
Florida Atlantic University
Boca Raton, United States
19 h-index
72 publications
14.3K citations
University of Wisconsin–Madison
Madison, United States
18 h-index
32 publications
2.3K citations
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136 publications · 29.3K citations
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85 publications · 34K citations
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Repository · 86 publications · 2.6K citations
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37 publications · 5.1K citations
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