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Uporišna inferencija×Procjena medijanske apsolutne devijacije (MAD)×
PodručjeStatistikaStatistika
ObiteljRegression modelRegression model
Godina nastanka19791974
TvoracBradley EfronHampel (influence-curve treatment); classical robust statistics
VrstaResampling-based inferenceRobust scale estimator
Temeljni izvorEfron, 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 ↗
Drugi nazivibootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımımedian absolute deviation, MAD scale estimator, robust scale estimation, Medyan Mutlak Sapma (MAD) Tahmini
Srodne55
SažetakBootstrap 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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ScholarGateUsporedite metode: Bootstrap Inference · MAD Estimation. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare