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Hypothesis testClassical statistics

Robust Friedman Test

Den robuste Friedman test er en ikke-parametrisk procedure til at sammenligne tre eller flere relaterede (inden-for-subjekt) betingelser, der erstatter standard rangordning eller middelværdibaseret opsummering med robuste lokationsestimater – typisk trimmede middelværdier eller Winsoriserede statistikker – for at reducere indflydelsen af outliers og tung-halede fordelinger på inferensen.

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Kilder

  1. Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
  2. Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701. DOI: 10.1080/01621459.1937.10503522

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Friedman Test for Repeated Measures. ScholarGate. https://scholargate.app/da/statistics/robust-friedman-test

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ScholarGateRobust Friedman test (Robust Friedman Test for Repeated Measures). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/robust-friedman-test · Datasæt: https://doi.org/10.5281/zenodo.20539026