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Hypothesis testClassical statistics

Bayesian MANOVA

Bayesian Multivariat Variansanalyse (Bayesian MANOVA) utvider det klassiske MANOVA-rammeverket ved å erstatte nullhypotesesignifikans testing med Bayesiansk inferens. Den bruker priorfordelinger på multivariat gruppemiddelverdier og kovariansstrukturer, oppdaterer dem med data for å gi posteriorfordelinger, og kvantifiserer bevis gjennom Bayes-faktorer snarere enn p-verdier.

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Kilder

  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

Slik siterer du denne siden

ScholarGate. (2026, June 3). Bayesian Multivariate Analysis of Variance. ScholarGate. https://scholargate.app/no/statistics/bayesian-manova

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Referert av

ScholarGateBayesian MANOVA (Bayesian Multivariate Analysis of Variance). Hentet 2026-06-15 fra https://scholargate.app/no/statistics/bayesian-manova · Datasett: https://doi.org/10.5281/zenodo.20539026