A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation
The American Statistician · 1983 · 3K citations · 15 references
EngineeringMachine LearningBiometricsStatistical FoundationApplied EconometricsAmerican StatisticianClassification MethodPattern RecognitionStatisticsMultiple Classifier SystemEconomicsEstimation StatisticPredictive AnalyticsKnowledge DiscoveryInvited Expository ArticleComputer ScienceStatistical Learning TheoryPrediction RuleLeisurely LookBootstrap ResamplingBusinessStatistical InferenceSemi-nonparametric Estimation
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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