The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum
Open accessAbstract
Bootstrapping has enormous potential in statistics education and practice, but there are subtle issues and ways to go wrong. For example, the common combination of nonparametric bootstrapping and bootstrap percentile confidence intervals is less accurate than using t-intervals for small samples, though more accurate for larger samples. My goals in this article are to provide a deeper understanding of bootstrap methods—how they work, when they work or not, and which methods work better—and to highlight pedagogical issues. Supplementary materials for this article are available online.[Received December 2014. Revised August 2015]
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
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An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
MapReduce: simplified data processing on large clusters
Dean, J., & Ghemawat, S. (2008) · Communications of the ACM · doi:10.1145/1327452.1327492 · Cited by 18,476
The Jackknife, the Bootstrap and Other Resampling Plans
Efron, B. (1982) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970319 · Cited by 8,120
Bootstrap Methods and their Application
Davison, A. C., & Hinkley, D. V. (1997) · doi:10.1017/cbo9780511802843 · Cited by 7,350 · cited 2×
“The reverse bootstrap percentile interval (called “basic bootstrap confidence interval” in Davison and Hinkley 1997) is a common interval, with pedagogical value in teaching manipulations like those shown just below.”
Bootstrap Methods and Their Application
Loughin, T. M., Davison, A. C., & Hinkley, D. V. (1999) · Journal of the American Statistical Association · doi:10.2307/2669707 · Cited by 5,418
The Jackknife: The Bootstrap and Other Resampling Plans.
Low, L. Y., & Efron, B. (1983) · Journal of the American Statistical Association · doi:10.2307/2288218 · Cited by 2,702
The Bootstrap and Edgeworth Expansion
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The Bootstrap and Edgeworth Expansion.
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A Statistical Significance Test for Necessary Condition Analysis
Dul, J., van der Laan, E., & Kuik, R. (2020) · Organizational Research Methods · doi:10.1177/1094428118795272 · Cited by 675
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing
Papadopoulos, A. V., Versluis, L., Bauer, A., Herbst, N., Kistowski, J. V., Ali-Eldin, A., Abad, C. L., Amaral, J. N., Tuma, P., & Iosup, A. (2021) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2019.2927908 · Cited by 93
Brown, J. L., Jennings, P. A., Rasheed, D. S., Cham, H., Doyle, S. L., Frank, J. L., Davis, R., & Greenberg, M. T. (2025) · Applied Developmental Science · doi:10.1080/10888691.2023.2268327 · Cited by 38
Refaey, M. M., Al-Otibi, F. O., El-Khateeb, A. Y., Helmy, Y. A., Saber, W. I. A., & Zalma, S. A. (2024) · Scientific Reports · doi:10.1038/s41598-024-71190-z · Cited by 8
Delangle, M., Moïse-Richard, A., Leclercq, A.-L., Labbé, D., Bouchard, S., Andrews, S., & Ménard, L. (2026) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2026.106194 · Cited by 1
Metadata
- Authors
- Hesterberg, T. C.
- Venue
- The American Statistician
- Publisher
- Informa UK Limited
- Published
- 2015-10-02
- Volume
- 69
- Issue
- 4
- Pages
- 371-386
- ISSN
- 0003-1305 (ISSN-L)
- 1537-2731
- OpenAlex
- W1909800943
- Cited by
- 379
- References
- 22
- FWCI
- 16.35
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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