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Hypothesis testClassical statistics

Robustne kahefaktoriline ANOVA

Robustne kahefaktoriline ANOVA testib kahe kategoorse faktori põhihüpoteese ja interaktsioone pideva tulemusmuutuja suhtes, kasutades kärbitud keskmisi ja Winsoriseeritud dispersioone, pakkudes kehtivat järeldust olukordades, kus standardse ANOVA eeltingimused – normaaljaotus, homoskedastilisus ja väärtuste puudumine – on rikutud.

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Method map

The neighbourhood of related methods — select a node to explore.

Allikad

  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., & Lix, L. M. (2003). A generally robust approach to hypothesis testing in independent and correlated groups designs. Psychophysiology, 40(4), 586–596. DOI: 10.1111/1469-8986.00060

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Robust Two-Way Analysis of Variance. ScholarGate. https://scholargate.app/et/statistics/robust-two-way-anova

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Sellele viitavad

ScholarGateRobust two-way ANOVA (Robust Two-Way Analysis of Variance). Loetud 2026-06-15 aadressilt https://scholargate.app/et/statistics/robust-two-way-anova · Andmestik: https://doi.org/10.5281/zenodo.20539026