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| 베이즈 요인 검정× | 독립 표본 t-검정× | |
|---|---|---|
| 분야≠ | 베이지안 | 통계학 |
| 계열≠ | Bayesian methods | Hypothesis test |
| 기원 연도≠ | 1961 | 1908 |
| 창시자≠ | Harold Jeffreys | Student (W. S. Gosset) |
| 유형≠ | Bayesian hypothesis comparison | Parametric mean comparison |
| 원전≠ | Jeffreys, H. (1961). Theory of Probability (3rd ed.). Clarendon Press / Oxford University Press. ISBN: 978-0198503682 | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| 별칭 | bayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testi | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| 관련≠ | 3 | 4 |
| 요약≠ | The 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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