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Jackknife Resampling×Median Absolut Afvigelse (MAD) Estimering×
FagområdeStatistikStatistik
FamilieRegression modelRegression model
Oprindelsesår19561974
OphavspersonQuenouille (1956); reviewed by Miller (1974)Hampel (influence-curve treatment); classical robust statistics
TypeResampling / bias and variance estimationRobust scale estimator
Oprindelig kildeQuenouille, M. H. (1956). Notes on Bias in Estimation. Biometrika, 43(3/4), 353-360. 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 ↗
Aliasserleave-one-out resampling, Quenouille-Tukey jackknife, delete-one jackknife, Jackknife Yeniden Örneklememedian absolute deviation, MAD scale estimator, robust scale estimation, Medyan Mutlak Sapma (MAD) Tahmini
Relaterede55
ResuméThe jackknife is a classical resampling method that estimates the bias and variance of a statistic by systematically recomputing it with one observation left out at a time. Introduced by Quenouille in 1956 and later reviewed by Miller in 1974, it predates the bootstrap and remains a simple, deterministic tool for assessing estimator stability.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: Jackknife · MAD Estimation. Hentet 2026-06-15 fra https://scholargate.app/da/compare