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Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Estatística Descritiva Bayesiana×Teste t Bayesiano para Amostras Independentes×
ÁreaEstatísticaEstatística
FamíliaHypothesis testHypothesis test
Ano de origem1763/18122009 (modern form); 1961 (Jeffreys prior framework)
Autor originalThomas Bayes / Pierre-Simon LaplaceHarold Jeffreys (foundational); operationalized by Rouder et al.
TipoBayesian parameter estimationBayesian hypothesis 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: 978-1439840955Rouder, 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 ↗
Outros nomesBayesian summaries, posterior descriptives, Bayesian parameter estimation, credible-interval summariesBayesian two-sample t-test, Bayes factor t-test, JZS t-test, Bayesian unpaired t-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 independent samples t-test quantifies evidence for or against a mean difference between two independent groups using a Bayes factor rather than a p-value. Rooted in Jeffreys's probability framework and popularized by Rouder et al. (2009), it places a Cauchy prior on the standardized effect size and returns continuous evidence for both the null and alternative hypotheses.
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ScholarGateComparar métodos: Bayesian descriptive statistics · Bayesian Independent Samples t-test. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare