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Robust to-veis ANOVA×Toveis variansanalyse (Toveis ANOVA)×
FagfeltStatistikkStatistikk
FamilieHypothesis testHypothesis test
Opprinnelsesår1990s–2000s1925
OpphavspersonRand R. Wilcox; H. J. Keselman and colleaguesRonald A. Fisher
TypeRobust parametric mean comparisonParametric factorial mean comparison
Opprinnelig kildeWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
Aliasrobust factorial ANOVA, trimmed-mean two-way ANOVA, heteroscedastic two-way ANOVA, robust 2-way ANOVAfactorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA
Relaterte36
SammendragRobust two-way ANOVA tests main effects and interactions of two categorical factors on a continuous outcome using trimmed means and Winsorized variances, providing valid inference when standard ANOVA assumptions — normality, homoscedasticity, and absence of outliers — are violated.Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors.
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ScholarGateSammenlign metoder: Robust two-way ANOVA · Two-Way ANOVA. Hentet 2026-06-18 fra https://scholargate.app/no/compare