A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation
作者： Bradley Efron , Gail Gong
DOI: 10.1080/00031305.1983.10483087
关键词: Statistics 、 Econometrics 、 Mathematical proof 、 Nonparametric statistics 、 Jackknife resampling 、 Cross-validation 、 Mathematics 、 Word error rate 、 Standard error 、 Estimator 、 Statistician
摘要: Abstract This is an invited expository article for The American Statistician. It reviews the nonparametric estimation of statistical error, mainly bias and standard error estimator, or rate a prediction rule. presentation written at relaxed mathematical level, omitting most proofs, regularity conditions, technical details.
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