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Median Absolute Deviation (MAD) Estimering×Permutasjonstest (Randomiseringstest)×
FagfeltStatistikkStatistikk
FamilieRegression modelRegression model
Opprinnelsesår19742005
OpphavspersonHampel (influence-curve treatment); classical robust statisticsGood (2005); Edgington & Onghena (2007); resampling tradition
TypeRobust scale estimatorNonparametric resampling test
Opprinnelig kildeHampel, F. R. (1974). The Influence Curve and Its Role in Robust Estimation. Journal of the American Statistical Association, 69(346), 383-393. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Aliasmedian absolute deviation, MAD scale estimator, robust scale estimation, Medyan Mutlak Sapma (MAD) Tahminirandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Relaterte55
SammendragMedian 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.The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.
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ScholarGateSammenlign metoder: MAD Estimation · Permutation Test. Hentet 2026-06-17 fra https://scholargate.app/no/compare