Bootstrap Hypothesis Tests
Bootstrap Hypothesis Tests is a statistical hypothesis testing method that uses resampling with replacement from the observed data to estimate the sampling distribution of a test statistic under the null hypothesis, thereby enabling inference without reliance on parametric assumptions.
412
Publications
47.6K
Citations
725
Authors
425
Institutions
Publications per year
2017–2026
46
Variants
Bootstrap Hypothesis Testing
Parents
412
Estimation and Inference in Econometrics.
Marcus J. Chambers, Russell Davidson, James G. MacKinnon · The Economic Journal · 1994 · 5.6K citations
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425
Queen's University
Kingston, Canada
13 h-index
18 publications
3.9K citations

Australian National University
Canberra, Australia
13 h-index
23 publications
1.3K citations
Aix-Marseille Sciences Economiques
Marseille, France
10 h-index
10 publications
1.5K citations
North Carolina State University
Raleigh, United States
8 h-index
11 publications
510 citations
Texas A&M University
College Station, United States
7 h-index
7 publications
598 citations
University of California San Diego
San Diego, United States
7 h-index
7 publications
600 citations

Queensland University of Technology
Brisbane, Australia
5 h-index
5 publications
709 citations

McGill University
Montreal, Canada
5 h-index
5 publications
653 citations
1–8 of 425
32 publications · 10.4K citations
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15 publications · 1.7K citations
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15 publications · 343 citations
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Repository · 13 publications · 495 citations
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CSDA · 14 publications · 748 citations
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