Hypothesis testClassical statistics

Bejzovsko MANOVA

Bejzovsko MANOVA (Bayesian Multivariate Analysis of Variance) proširuje klasični MANOVA okvir zamenom testiranja značajnosti nul-hipoteze Bejzovskom inferencijom. Koristi apriorne raspodele na multivarijatne grupne sredine i kovarijansne strukture, ažurira ih podacima da bi dobila aposteriorne raspodele, i kvantifikuje dokaze putem Bejz faktora umesto p-vrednosti.

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Izvori

  1. Olkin, I., & Rubin, H. (1964). Multivariate beta distributions and independence properties of the Wishart distribution. The Annals of Mathematical Statistics, 35(1), 261–269. DOI: 10.1214/aoms/1177703748
  2. Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M. (2012). Default Bayes factors for ANOVA designs. Journal of Mathematical Psychology, 56(5), 356–374. DOI: 10.1016/j.jmp.2012.08.001

Kako citirati ovu stranicu

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

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Citirana u

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