Bootstrap Sampling is a resampling technique in statistics that involves repeatedly drawing independent samples with replacement from an observed dataset to estimate the sampling distribution of a statistic.
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837
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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Australian National University
Canberra, Australia
22 h-index
46 publications
2.4K citations
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Stanford, United States
18 h-index
27 publications
19K citations
University of Florida
Gainesville, United States
14 h-index
20 publications
984 citations
University of Wisconsin–Madison
Madison, United States
12 h-index
19 publications
1.3K citations
Texas A&M University
College Station, United States
12 h-index
20 publications
912 citations
University of Hong Kong
Pok Fu Lam, Hong Kong
12 h-index
18 publications
421 citations
Carleton University
Ottawa, Canada
11 h-index
12 publications
656 citations
Johns Hopkins University
Baltimore, United States
10 h-index
15 publications
888 citations
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51 publications · 26.9K citations
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48 publications · 14.6K citations
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16 publications · 1.4K citations
14
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- Communications in Statistics - Simulation and Computation
13 publications · 365 citations
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- Computational Statistics & Data Analysis
CSDA · 12 publications · 514 citations
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