Cited by 1,985Statistical Methods and InferenceAdvanced Statistical Methods and ModelsStatistical Methods and Applications

The Jackknife and Bootstrap

Shao, Jun, Tu, Dongsheng·1995·Springer Series in Statistics

Integrity signals

Registry

Crossref · 10.1007/978-1-4612-0795-5

Cites

Statistics

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References 2 · Cited by 1,985

Authors
Shao, J., & Tu, D.
Affiliations
University of Wisconsin–Madison (US)
Venue
Springer Series in Statistics
Published
1995
ISSN
0172-7397 (ISSN-L)
OpenAlex
W2327088997
Cited by
1,985
References
2
Citations by year
2026: 19 · 2025: 31 · 2024: 33 · 2023: 42 · 2022: 35 · 2021: 54 · 2020: 56 · 2019: 63 · 2018: 68 · 2017: 59 · 2016: 76 · 2015: 89 · 2014: 81 · 2013: 85 · 2012: 113
FWCI
13.71
Type
book
Language
en
Open access
closed
Locations
  • Springer series in statistics (publishedVersion)
  • International Linear Collider (submittedVersion)
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 › Statistical Methods and Applications
Keywords
jackknife, bootstrapping, resampling, data resampling, statistical inference

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.

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