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.
Cite
CITATION STYLE
APA
Efron, B., & Gong, G. (1983). Efron, Gong - 1983 - The American Statistician - A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation.pdf. American Statistician, 37, 36–48.
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