Hypothesis testClassical statistics

Robust MANOVA

Robust MANOVA je postupak multivariacionih analiza varijanse (MANOVA) dizajniran da ostane validan kada se klasične pretpostavke — multivariaciona normalnost i homogenost kovarijansnih matrica — naruše. On zamenjuje sirove srednje vrednosti i standardne kovarijansne matrice otpornim procenama kao što su odsečene (trimmed) srednje vrednosti i Vinsorizovane (Winsorized) kovarijanse, obezbeđujući pouzdanu kontrolu greške tipa I i statističku snagu u prisustvu autlajera i asimetričnih distribucija na više zavisnih promenljivih istovremeno.

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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. Lix, L. M., & Keselman, H. J. (2004). Multivariate tests of means in independent groups designs: Effects of covariance heterogeneity and nonnormality. Evaluation and the Health Professions, 27(1), 45–69. DOI: 10.1177/0163278703261213

Kako citirati ovu stranicu

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

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Citirana u

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