Resampling-based Hypothesis Testing
Resampling-Based Hypothesis Testing is a statistical inference method that belongs to the class of resampling techniques and is distinguished by its use of repeated sampling from observed data to estimate the sampling distribution of a test statistic under the null hypothesis, thereby enabling hypothesis testing without relying on parametric distributional assumptions.
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28.8K
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389
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242
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2017–2026
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Stanford University
Stanford, United States
10 h-index
16 publications
554 citations
University of California, Berkeley
Berkeley, United States
7 h-index
16 publications
512 citations
University of Wisconsin–Madison
Madison, United States
7 h-index
8 publications
356 citations
University of Zurich
Zurich, Switzerland
6 h-index
7 publications
1.4K citations
Iowa State University
Ames, United States
5 h-index
8 publications
365 citations

Pennsylvania State University
State College, United States
4 h-index
4 publications
61 citations
Columbia University
New York, United States
4 h-index
8 publications
1.3K citations

Utah State University
Logan, United States
3 h-index
4 publications
123 citations
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21 publications · 1.6K citations
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9 publications · 3.8K citations
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8 publications · 2K citations
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Repository · 6 publications · 283 citations
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6 publications · 2.2K citations
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