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Bayesiaanse beschrijvende statistiek×Bayesiaanse Chi-kwadraattoets×
VakgebiedStatistiekStatistiek
FamilieHypothesis testHypothesis test
Jaar van ontstaan1763/18121967
GrondleggerThomas Bayes / Pierre-Simon LaplaceI. J. Good; extended by Gunel, Dickey, and Wagenmakers et al.
TypeBayesian parameter estimationBayesian nonparametric association test
Oorspronkelijke bronGelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955Good, I. J. (1967). A Bayesian significance test for multinomial distributions. Journal of the Royal Statistical Society: Series B (Methodological), 29(3), 399–418. DOI ↗
AliassenBayesian summaries, posterior descriptives, Bayesian parameter estimation, credible-interval summariesBayesian contingency table test, Bayes factor chi-square, Bayesian goodness-of-fit test, Bayesian association test
Verwant53
SamenvattingBayesian descriptive statistics summarizes data by combining observed information with prior knowledge through Bayes' theorem, yielding posterior distributions over parameters such as the mean and variance. Instead of point estimates and p-values, results are expressed as posterior means, medians, and credible intervals that carry a direct probability interpretation.The Bayesian chi-square test evaluates independence or goodness-of-fit in frequency tables using Bayes factors rather than classical p-values. It quantifies evidence for or against an association between categorical variables, updating prior beliefs with observed counts and delivering an odds-like ratio that distinguishes 'no evidence' from 'evidence of no effect'.
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  1. v1
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ScholarGateMethoden vergelijken: Bayesian descriptive statistics · Bayesian chi-square test. Geraadpleegd op 2026-06-15 via https://scholargate.app/nl/compare