手法を比較

	ロバストWilcoxon符号順位検定	対応のある標本t検定
分野	統計学	統計学
系統	Hypothesis test	Hypothesis test
提唱年	1945 (original); robust extensions 1990s–2000s	1908
提唱者	Frank Wilcoxon (original); Rand R. Wilcox (robust extensions)	Student (W. S. Gosset)
種類	Robust nonparametric paired difference test	Parametric mean comparison
原典	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
別名	robust signed-rank test, robust nonparametric paired test, outlier-resistant Wilcoxon test, robust WSR test	dependent t-test, matched pairs t-test, repeated measures t-test, within-subjects t-test
関連	5	3
概要	The robust Wilcoxon signed-rank test extends the classical Wilcoxon signed-rank test by incorporating outlier-resistant location measures or robust preprocessing steps, improving inference on paired data when extreme observations or heavy-tailed distributions threaten validity of standard rank-based conclusions.	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.