Regression model
Bootstrap Inference
Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.
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Sources
- Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI: 10.1214/aos/1176344552 ↗
- Efron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman & Hall/CRC Press. ISBN: 978-0412042317
Related methods
Referenced by
Adjusted BoxplotBayesian BootstrapBCa BootstrapBlock BootstrapBootstrap DEABreakdown Point AnalysisChain-Ladder ReservingDouble BootstrapJackknifeLevene and Brown-Forsythe TestParametric BootstrapPermutation TestRandomization InferenceRobust ANOVATheil-Sen EstimatorTime-Series Cross-ValidationWild Bootstrap