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Teste t Bayesiano×Teste U de Mann-Whitney×
ÁreaBayesianoEstatística
FamíliaBayesian methodsHypothesis test
Ano de origem20091947
Autor originalRouder, Speckman, Sun, Morey & IversonH. B. Mann & D. R. Whitney
TipoBayesian hypothesis testNonparametric two-group comparison
Fonte seminalRouder, J. N., Speckman, P. L., Sun, D., Morey, R. D. & Iverson, G. (2009). Bayesian t Tests for Accepting and Rejecting the Null Hypothesis. Psychonomic Bulletin & Review, 16(2), 225–237. DOI ↗Mann, H. B. & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60. DOI ↗
Outros nomesbayesian two-sample t-test, bayes factor t-test, Bayesçi t-TestiMann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi
Relacionados54
ResumoThe Bayesian t-test, formalised by Rouder and colleagues in 2009, is a two-group comparison method that works within a Bayesian framework. Instead of a p-value, it produces a Bayes Factor (BF₁₀) that quantifies the evidence the data provide for the alternative hypothesis relative to the null, and it reports the full posterior distribution of the standardised effect size δ with a highest-density interval.The Mann-Whitney U test is the nonparametric alternative to the independent samples t-test, comparing two independent groups by ranking all observations together rather than relying on their means. It was introduced by H. B. Mann and D. R. Whitney in 1947 and does not require the data to be normally distributed.
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ScholarGateComparar métodos: Bayesian t-Test · Mann-Whitney U test. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare