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Bayesiansk chi-i-anden-test

Den Bayesianske chi-i-anden-test evaluerer uafhængighed eller goodness-of-fit i frekvenstabeller ved hjælp af Bayes-faktorer frem for klassiske p-værdier. Den kvantificerer evidens for eller imod en association mellem kategoriske variabler, opdaterer a priori-antagelser med observerede tællinger og leverer et odds-lignende forhold, der skelner mellem 'ingen evidens' og 'evidens for ingen effekt'.

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Kilder

  1. Good, I. J. (1967). A Bayesian significance test for multinomial distributions. Journal of the Royal Statistical Society: Series B (Methodological), 29(3), 399–418. DOI: 10.1111/j.2517-6161.1967.tb00705.x
  2. Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E.-J. (2017). Default 'Gunel and Dickey' Bayes factors for contingency tables. Behavior Research Methods, 49(2), 638–652. DOI: 10.3758/s13428-016-0739-8

Sådan citerer du denne side

ScholarGate. (2026, June 3). Bayesian Chi-Square Test of Independence. ScholarGate. https://scholargate.app/da/statistics/bayesian-chi-square-test

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Refereret af

ScholarGateBayesian chi-square test (Bayesian Chi-Square Test of Independence). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/bayesian-chi-square-test · Datasæt: https://doi.org/10.5281/zenodo.20539026