Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Test t bayésien× | Test t pour échantillons indépendants× | |
|---|---|---|
| Domaine≠ | Bayésien | Statistique |
| Famille≠ | Bayesian methods | Hypothesis test |
| Année d'origine≠ | 2009 | 1908 |
| Auteur d'origine≠ | Rouder, Speckman, Sun, Morey & Iverson | Student (W. S. Gosset) |
| Type≠ | Bayesian hypothesis test | Parametric mean comparison |
| Source fondatrice≠ | Rouder, 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 ↗ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Alias≠ | bayesian two-sample t-test, bayes factor t-test, Bayesçi t-Testi | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Apparentées≠ | 5 | 4 |
| Résumé≠ | The 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 independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances. |
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