Hypothesis testClassical statistics

Robustna ANCOVA

Robustna ANCOVA je grupna komparacija korigovana kovarijatom koja zamenjuje procenu običnih najmanjih kvadrata klasične ANCOVE otpornim metodama — tipično podrezanim sredinama ili M-estimatorima — tako da test zadržava validnu kontrolu greške tipa I i razumnu snagu kada podaci sadrže autlajere, distribucije sa teškim repovima ili heteroskedastične greške.

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Izvori

  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

Kako citirati ovu stranicu

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

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Citirana u

ScholarGateRobust ANCOVA (Robust Analysis of Covariance). Preuzeto 2026-06-15 sa https://scholargate.app/sr/statistics/robust-ancova · Skup podataka: https://doi.org/10.5281/zenodo.20539026