Bootstrap Confidence Intervals
Bootstrap Confidence Intervals is a statistical method for estimating the sampling distribution of a parameter by resampling with replacement from observed data, thereby constructing confidence intervals without relying on parametric assumptions.
1.7K
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183.3K
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3.5K
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2017–2026
346
Variants
Bootstrap Cis
Parents
1.7K
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
14 publications · 3.7K citations
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Stanford University
Stanford, United States
36 h-index
69 publications
18K citations

Australian National University
Canberra, Australia
23 h-index
51 publications
2.5K citations
University of Florida
Gainesville, United States
16 h-index
27 publications
1.5K citations

University of Toronto
Toronto, Canada
15 h-index
30 publications
2.5K citations
University of Washington
Seattle, United States
15 h-index
28 publications
1.2K citations
Harvard University
Cambridge, United States
15 h-index
23 publications
1.3K citations
University of California San Diego
San Diego, United States
14 h-index
22 publications
1.4K citations
University of Pennsylvania
Philadelphia, United States
14 h-index
32 publications
4.1K citations
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72 publications · 15.7K citations
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63 publications · 8K citations
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48 publications · 6.5K citations
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33 publications · 3.7K citations
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26 publications · 1.8K citations
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