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Sn och Qn Robusta Skalestimat×Permutationstest (Randomiseringstest)×
ÄmnesområdeStatistikStatistik
FamiljRegression modelRegression model
Ursprungsår19932005
UpphovspersonRousseeuw & CrouxGood (2005); Edgington & Onghena (2007); resampling tradition
TypRobust scale estimatorNonparametric resampling test
UrsprungskällaRousseeuw, P. J., & Croux, C. (1993). Alternatives to the Median Absolute Deviation. Journal of the American Statistical Association, 88(424), 1273-1283. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
AliasSn estimator, Qn estimator, Rousseeuw-Croux scale estimators, robust scale estimationrandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Närliggande55
SammanfattningSn and Qn are robust estimators of scale (spread) proposed by Rousseeuw and Croux (1993) as alternatives to the median absolute deviation (MAD). Both attain a 50% breakdown point while delivering higher statistical efficiency than MAD, so they measure dispersion accurately even when the data contain outliers.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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ScholarGateJämför metoder: Sn and Qn Scale Estimators · Permutation Test. Hämtad 2026-06-17 från https://scholargate.app/sv/compare