পদ্ধতির তুলনা করুন

	দৃঢ় প্রভাব আকার বিশ্লেষণ	Robust Independent Samples t-test
ক্ষেত্র	পরিসংখ্যান	পরিসংখ্যান
পরিবার	Hypothesis test	Hypothesis test
উদ্ভবের বছর	2005 (formalized)	1974–1990s
প্রবর্তক	Algina, Keselman & Penfield; Wilcox	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
ধরন	Robust effect size estimation	Robust parametric mean comparison
মৌলিক উৎস	Algina, J., Keselman, H. J., & Penfield, R. D. (2005). An alternative to Cohen's standardized mean difference effect size: A robust parameter and confidence interval in the two independent groups case. Psychological Methods, 10(3), 317–328.	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
অপর নাম	robust Cohen's d, trimmed-mean effect size, outlier-resistant effect size, robust standardized mean difference	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
সম্পর্কিত	5	2
সারসংক্ষেপ	Robust effect size analysis quantifies the magnitude of a difference or association using estimators that are resistant to outliers and violations of normality. Rather than relying on classical statistics such as Cohen's d based on sample means and standard deviations, robust variants use trimmed means and Winsorized standard deviations to produce effect size estimates that accurately reflect the typical effect rather than being inflated by extreme values.	The robust independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups.