Studentized Bootstrap
Studentized Bootstrap is a resampling methodology in statistical inference that belongs to the class of bootstrap techniques and specifically involves the use of studentized (or t-statistic–based) pivot quantities to construct confidence intervals, thereby improving coverage accuracy by accounting for the variability of the estimator in a data-driven manner.
76
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6.9K
Citations
104
Authors
77
Institutions
Publications per year
2017–2026
9
Variants
Bootstrap-tBootstrap-t Method
Parents
76
Statistical Methods, 5th Edition
Soil Science Society of America Journal · 1956 · 452 citations
On the Bootstrap and Confidence Intervals
Peter A. Hall · The Annals of Statistics · 1986 · 323 citations · Full text
Recent Developments in Bootstrap Methodology
A. C. Davison, D. V. Hinkley, G. A. Young · Statistical Science · 2003 · 228 citations · Full text
Second Thoughts on the Bootstrap
Bradley Efron · Statistical Science · 2003 · 221 citations · Full text
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Australian National University
Canberra, Australia
7 h-index
11 publications
549 citations
Stanford University
Stanford, United States
6 h-index
6 publications
407 citations
Iowa State University
Ames, United States
3 h-index
3 publications
86 citations
Université de Montréal
Montreal, Canada
3 h-index
4 publications
386 citations
University of Oxford
Oxford, United Kingdom
2 h-index
3 publications
1.8K citations
University of California San Diego
San Diego, United States
2 h-index
3 publications
411 citations
University of Iowa
Iowa City, United States
2 h-index
2 publications
186 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
264 citations
1–8 of 77
11 publications · 922 citations
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6 publications · 904 citations
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5 publications · 452 citations
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5 publications · 211 citations
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5 publications · 307 citations
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