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Hypothesis testClassical statistics

Robust Mann-Whitney U Test

Den robuste Mann-Whitney U-test er en ikke-parametrisk to-gruppesammenligning, der kombinerer den rangbaserede logik fra den klassiske Mann-Whitney U-test med moderne robuste teknikker — såsom outlier-screening, trimmede middelværdier eller robust variansestimering — for at give pålidelige inferenser, når data indeholder ekstreme værdier, tungt-halede fordelinger eller andre overtrædelser, der kompromitterer standardtesten.

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Kilder

  1. Wilcox, R. R. (2005). Introduction to Robust Estimation and Hypothesis Testing (2nd ed.). Academic Press. ISBN: 978-0127515427
  2. Wilcox, R. R., & Keselman, H. J. (2003). Modern robust data analysis methods: Measures of central tendency. Psychological Methods, 8(3), 254–274. DOI: 10.1037/1082-989X.8.3.254

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Mann-Whitney U Test. ScholarGate. https://scholargate.app/da/statistics/robust-mann-whitney-u-test

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ScholarGateRobust Mann-Whitney U test (Robust Mann-Whitney U Test). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/robust-mann-whitney-u-test · Datasæt: https://doi.org/10.5281/zenodo.20539026