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Hypothesis testClassical statistics

Robust ANCOVA

Robust ANCOVA er en kovariat-justeret gruppesammenligning, der erstatter klassisk ANCOVAs ordinære mindste kvadraters estimering med robuste metoder — typisk trimmede middelværdier eller M-estimatorer — så testen bevarer gyldig Type I-fejlkontrol og rimelig styrke, når data indeholder outliers, tung-tailed fordelinger eller heteroscedastiske fejl.

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Method map

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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. Keselman, H. J., Wilcox, R. R., Algina, J., Fradette, K., & Othman, A. R. (2008). A comparative study of robust tests for spread: Asymmetric trimming strategies. British Journal of Mathematical and Statistical Psychology, 61(2), 235–253. DOI: 10.1348/000711008x299742

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Analysis of Covariance. ScholarGate. https://scholargate.app/da/statistics/robust-ancova

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Refereret af

ScholarGateRobust ANCOVA (Robust Analysis of Covariance). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/robust-ancova · Datasæt: https://doi.org/10.5281/zenodo.20539026