방법 비교

	베이즈 윌콕슨 부호 순위 검정	대응표본 t-검정 (Paired Samples t-test)
분야	통계학	통계학
계열	Hypothesis test	Hypothesis test
기원 연도	2014–2017	1908
창시자	Benavoli, Corani, Mangili, and colleagues	Student (W. S. Gosset)
유형	Bayesian nonparametric paired test	Parametric mean comparison
원전	Benavoli, A., Corani, G., & Mangili, F. (2014). Should we really use post-hoc tests based on mean-ranks? Journal of Machine Learning Research, 17(5), 1–10.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
별칭	Bayesian signed-rank test, Bayesian nonparametric paired comparison, Benavoli signed-rank Bayesian test, signed-rank Bayesian hypothesis test	dependent t-test, matched pairs t-test, repeated measures t-test, within-subjects t-test
관련	2	3
요약	The Bayesian Wilcoxon signed-rank test is a Bayesian nonparametric method for comparing two paired or related samples. Rather than returning a single p-value, it produces posterior probabilities that one condition is better, practically equivalent, or worse than the other, enabling richer and more interpretable inference for paired continuous or ordinal data without assuming normality.	The paired samples t-test is a parametric hypothesis test that compares the means of two related measurements from the same subjects or matched pairs to determine whether the average difference is significantly different from zero. It leverages the dependency between observations to produce a more powerful test than its independent-samples counterpart.