Cited by 6,033Statistical Methods and InferenceProbability and Statistical ResearchStatistical Methods and Bayesian Inference

Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

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Efron, B., Tibshirani, R.·1986·Statistical Science

Abstract

This is a review of bootstrap methods, concentrating on basic ideas and applications rather than theoretical considerations. It begins with an exposition of the bootstrap estimate of standard error for one-sample situations. Several examples, some involving quite complicated statistical procedures, are given. The bootstrap is then extended to other measures of statistical accuracy such as bias and prediction error, and to complicated data structures such as time series, censored data, and regression models. Several more examples are presented illustrating these ideas. The last third of the paper deals mainly with bootstrap confidence intervals.

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Crossref · 10.1214/ss/1177013815

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Authors
Efron, B., & Tibshirani, R.
Venue
Statistical Science
Published
1986-02-01
Volume
1
Issue
1
Pages
54-75
ISSN
  • 0883-4237 (ISSN-L)
  • 2168-8745
OpenAlex
W2112688502
Cited by
6,033
References
34
Citations by year
2026: 83 · 2025: 148 · 2024: 208 · 2023: 220 · 2022: 254 · 2021: 330 · 2020: 306 · 2019: 331 · 2018: 289 · 2017: 244 · 2016: 253 · 2015: 234 · 2014: 245 · 2013: 232 · 2012: 228
FWCI
41.99
Type
journal article
Language
en
Open access
Locations
  • Statistical Science (publishedVersion)
  • Project Euclid (Cornell University) (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
bootstrapping, standard error estimation, confidence intervals, bias estimation, prediction error, time series, censored data, regression models, statistical accuracy

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