Cited by 1,399Survey Sampling and Estimation TechniquesStatistical Methods and InferenceAdvanced Statistical Methods and Models

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Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods

EFRON, BRADLEY·1981·Biometrika

DOI 10.1093/biomet/68.3.589

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Abstract

We discuss several nonparametric methods for attaching a standard error to a point estimate: the jackknife, the bootstrap, half-sampling, subsampling, balanced repeated replications, the infinitesimal jackknife, influence function techniques and the delta method. The last three methods are shown to be identical. All the methods derive from the same basic idea, which is also the idea underlying the common parametric methods. Extended numerical comparisons are made for the special case of the correlation coefficient.

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Bootstrap methods: another look at the jackknife
Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602
Self-citation
Continuous Univariate Distributions.
Omori, Y., Johnson, N. L., Kotz, S., & Balakrishnan, N. (1995) · Journal of the American Statistical Association · doi:10.2307/2291547 · Cited by 9,085
The Influence Curve and Its Role in Robust Estimation
Hampel, F. R. (1974) · Journal of the American Statistical Association · doi:10.1080/01621459.1974.10482962 · Cited by 2,847
The Jackknife Estimate of Variance
Efron, B., & Stein, C. (1981) · The Annals of Statistics · doi:10.1214/aos/1176345462 · Cited by 1,424
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The jackknife-a review
Miller, R. G. (1974) · Biometrika · doi:10.1093/biomet/61.1.1 · Cited by 1,391
Computers and the Theory of Statistics: Thinking the Unthinkable
Efron, B. (1979) · SIAM Review · doi:10.1137/1021092 · Cited by 880
Self-citation
Censored Data and the Bootstrap
Efron, B. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477650 · Cited by 689
Self-citation
Inference from Complex Samples
Kish, L., & Frankel, M. R. (1974) · Journal of the Royal Statistical Society Series B (Methodological) · doi:10.1111/j.2517-6161.1974.tb00981.x · Cited by 530
Robust estimation and outlier detection with correlation coefficients
Devlin, S. J., Gnanadesikan, R., & Kettenring, J. R. (1975) · Biometrika · doi:10.1093/biomet/62.3.531 · Cited by 385
Pseudo-Replication: Half Samples
McCarthy, P. J. (1969) · Revue de l Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1402116 · Cited by 177

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Authors: EFRON, B.
Affiliations: Stanford University (US)
Corresponding author: EFRON, BRADLEY
Venue: Biometrika
Publisher: Oxford University Press (OUP)
Published: 1981
Volume: 68
Issue: 3
Pages: 589-599
ISSN: 0006-3444 (ISSN-L)
1464-3510
DOI: 10.1093/biomet/68.3.589
OpenAlex: W2006820723
Cited by: 1,399
References: 16
Citations by year: 2026: 23 · 2025: 32 · 2024: 46 · 2023: 28 · 2022: 59 · 2021: 65 · 2020: 66 · 2019: 57 · 2018: 94 · 2017: 54 · 2016: 69 · 2015: 79 · 2014: 60 · 2013: 55 · 2012: 73
FWCI: 7.53
Type: journal article
Language: en
Open access: closed
Locations: Biometrika (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
Keywords: standard error estimation, nonparametric statistics, jackknife, bootstrapping, subsampling, balanced repeated replication, influence function, delta method, correlation coefficient, variance estimation

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Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods

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