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Bootstrap-inferens×Median Absolute Deviation (MAD) Estimering×
FagfeltStatistikkStatistikk
FamilieRegression modelRegression model
Opprinnelsesår19791974
OpphavspersonBradley EfronHampel (influence-curve treatment); classical robust statistics
TypeResampling-based inferenceRobust scale estimator
Opprinnelig kildeEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Hampel, F. R. (1974). The Influence Curve and Its Role in Robust Estimation. Journal of the American Statistical Association, 69(346), 383-393. DOI ↗
Aliasbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımımedian absolute deviation, MAD scale estimator, robust scale estimation, Medyan Mutlak Sapma (MAD) Tahmini
Relaterte55
SammendragBootstrap 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.Median Absolute Deviation estimation is a robust measure of statistical dispersion that replaces the standard deviation when outliers are present. Rooted in the influence-curve framework formalised by Hampel (1974), it summarises the spread of a continuous variable using medians instead of means, so a single extreme value cannot distort the result.
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ScholarGateSammenlign metoder: Bootstrap Inference · MAD Estimation. Hentet 2026-06-17 fra https://scholargate.app/no/compare