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Prova del factor de Bayes×Test t per a mostres independents×
CampBayesiàEstadística
FamíliaBayesian methodsHypothesis test
Any d'origen19611908
Autor originalHarold JeffreysStudent (W. S. Gosset)
TipusBayesian hypothesis comparisonParametric mean comparison
Font seminalJeffreys, H. (1961). Theory of Probability (3rd ed.). Clarendon Press / Oxford University Press. ISBN: 978-0198503682Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
Àliesbayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testistudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Relacionats34
ResumThe Bayes factor test, formalised by Harold Jeffreys in 1961, is a Bayesian method for comparing two competing hypotheses. Rather than returning a binary reject/retain verdict, it produces a continuous ratio BF₁₀ that quantifies how much more (or less) probable the data are under the alternative hypothesis H₁ than under the null hypothesis H₀.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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ScholarGateCompara mètodes: Bayes Factor Test · Independent t-test. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare