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| Bayes-féle ANOVA× | Varianciaanalízis egytényezős× | |
|---|---|---|
| Tudományterület≠ | Bayes-statisztika | Statisztika |
| Módszercsalád≠ | Bayesian methods | Hypothesis test |
| Keletkezés éve≠ | 2012 | 1925 |
| Megalkotó≠ | Rouder, Morey, Speckman & Province | Ronald A. Fisher |
| Típus≠ | Bayesian hypothesis test / group comparison | Parametric mean comparison |
| Alapmű≠ | Rouder, J. N., Morey, R. D., Speckman, P. L. & Province, J. M. (2012). Default Bayes Factors for ANOVA Designs. Journal of Mathematical Psychology, 56(5), 356–374. DOI ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Alternatív nevek | bayesian analysis of variance, bayes factor ANOVA, JZS ANOVA, Bayesçi ANOVA — Bayes Faktörü ile Grup Karşılaştırması | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Kapcsolódó | 4 | 4 |
| Összefoglaló≠ | Bayesian ANOVA, formalised by Rouder, Morey, Speckman and Province (2012), tests whether group means differ by quantifying the evidence for the alternative hypothesis relative to the null using the Bayes Factor (BF₁₀). Unlike classical ANOVA, it can also measure evidence in favour of the null hypothesis, making it equally informative when groups do not differ. | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. |
| ScholarGateAdatkészlet ↗ |
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