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

Autors:

**Bradley Efron****Gail Gong**

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.

Links:- www.jstor.org/stable/2685844
- web.cecs.pdx.edu/~cgshirl/Documents/Demonstrations/1983%20Efron%20Gong%20A%20Leisurely%20Look%20at%20the%20Bootstrap%20Jackknife%20CV%20CV_Boot_Jack2685844.pdf
- www.stat.washington.edu/courses/stat527/s14/readings/EfronGong_am_stat1983.pdf
- www.jstor.org/pss/2685844
- amstat.tandfonline.com/doi/abs/10.1080/00031305.1983.10483087
- www.tandfonline.com/doi/abs/10.1080/00031305.1983.10483087?src=recsys
- dx.doi.org/10.1080/00031305.1983.10483087

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