Resampling Methods
Resampling Methods is a statistical technique that involves repeatedly drawing samples from a given dataset to estimate the sampling distribution of a statistic, thereby enabling inference without reliance on parametric assumptions.
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2017–2026
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Bootstrap Methods: Another Look at the Jackknife
B. Efron · The Annals of Statistics · 1979 · 17.4K citations · Full text
Estimation and Inference in Econometrics.
Marcus J. Chambers, Russell Davidson, James G. MacKinnon · The Economic Journal · 1994 · 5.6K citations
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University of California San Diego, United States
27 publications · 5.6K citations
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Stanford University
Stanford, United States
48 h-index
126 publications
37.1K citations
University of California, Berkeley
Berkeley, United States
33 h-index
86 publications
12.1K citations

Australian National University
Canberra, Australia
32 h-index
80 publications
4.4K citations
University of Michigan
Ann Arbor, United States
27 h-index
69 publications
5.9K citations
University of Wisconsin–Madison
Madison, United States
26 h-index
54 publications
3.4K citations
University of California San Diego
San Diego, United States
22 h-index
45 publications
2.7K citations

Centre National de la Recherche Scientifique
Paris, France
21 h-index
64 publications
2.1K citations
Columbia University
New York, United States
20 h-index
39 publications
2.3K citations
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240 publications · 44K citations
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120 publications · 38.1K citations
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Repository · 119 publications · 5.8K citations
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