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Estatística Descritiva Bayesiana×Teste Qui-Quadrado Bayesiano×
ÁreaEstatísticaEstatística
FamíliaHypothesis testHypothesis test
Ano de origem1763/18121967
Autor originalThomas Bayes / Pierre-Simon LaplaceI. J. Good; extended by Gunel, Dickey, and Wagenmakers et al.
TipoBayesian parameter estimationBayesian nonparametric association test
Fonte seminalGelman, 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 ↗
Outros nomesBayesian summaries, posterior descriptives, Bayesian parameter estimation, credible-interval summariesBayesian contingency table test, Bayes factor chi-square, Bayesian goodness-of-fit test, Bayesian association test
Relacionados53
ResumoBayesian 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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ScholarGateComparar métodos: Bayesian descriptive statistics · Bayesian chi-square test. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare