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February 1, 1983The American Statistician2,983 citations

A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation

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BEBradley EfronGGGail Gong

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Abstract

Abstract This is an invited expository article for The American Statistician. It reviews the nonparametric estimation of statistical error, mainly the bias and standard error of an estimator, or the error rate of a prediction rule. The presentation is written at a relaxed mathematical level, omitting most proofs, regularity conditions, and technical details.

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Cite This Study

Efron et al. (1983) studied this question.

synapsesocial.com/papers/6a08986e1e0fcf4a43e8dba8https://doi.org/10.1080/00031305.1983.10483087
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