Bootstrap Methods: Another Look at the Jackknife
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Bootstrapping does not require distributional assumptions and provides more accurate inferences, particularly when sample size is small.
“Bootstrapping (Efron 1992, Hall and Wilson 1991) does not require distributional assumptions (e.g., normally distributed errors). Bootstraps also provide more accurate inferences, particularly when the sample size is small.”
From Paradoxical effects of self-awareness of being observed: testing the effect of police body-worn cameras on assaults and aggression against officers (2018) · cites this paper as Efron 1992
All comparisons provided in Table I are statistically significant, measured by per-user bootstrap.
“All the provided comparisons are statistically significant, measured by employing per-user bootstrap [65].”
From Full Line Code Completion: Bringing AI to Desktop (2024) · cites this paper as [65]
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Full Line Code Completion: Bringing AI to Desktop
Semenkin, A., Bibaev, V., Sokolov, Y., Krylov, K., Kalina, A., Khannanova, A., Savenkov, D., Rovdo, D., Davidenko, I., Karnaukhov, K., et al. (2024) · arXiv · doi:10.48550/arxiv.2405.08704 · Cited by 8 · see citing works
- Authors
- Efron, B.
- Affiliations
- Stanford University (US)
- Corresponding author
- Efron, Bradley
- Venue
- Springer Series in Statistics
- Publisher
- Springer New York
- Published
- 1992
- Pages
- 569-593
- ISSN
- 0172-7397 (ISSN-L)
- OpenAlex
- W4244777963
- Cited by
- 1,374
- References
- 0
- Citations by year
- 2026: 148 · 2025: 171 · 2024: 140 · 2023: 167 · 2022: 149 · 2021: 127 · 2020: 108 · 2019: 86 · 2018: 72 · 2017: 50 · 2016: 24 · 2015: 21 · 2014: 14 · 2013: 15 · 2012: 8
- FWCI
- 0.85
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer series in statistics (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- bootstrapping, jackknife, linearization, linear discriminant analysis, ratio estimation, regression coefficient estimation, nonparametric estimation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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