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CiteWeb id: 20120000076

CiteWeb score: 3156

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.

The publication "A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation" is placed in the Top 10000 of the best publications in CiteWeb. Also in the category Mathematics it is included to the Top 1000. Additionally, the publicaiton "A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation" is placed in the Top 100 among other scientific works published in 2012.
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