方法对比

	稳健描述性统计	稳健独立样本t检验
领域	统计学	统计学
方法族	Hypothesis test	Hypothesis test
起源年份	1960s–1970s	1974–1990s
提出者	John W. Tukey, Peter J. Huber, Frank Hampel	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
类型	Resistant summary measures	Robust parametric mean comparison
开创性文献	Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
别名	resistant statistics, outlier-resistant summary statistics, robust summary measures, robust location and scale estimation	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
相关	5	2
摘要	Robust descriptive statistics summarize the location, spread, and shape of a dataset using measures that remain meaningful even when a fraction of the data contains outliers or severe departures from normality. Core tools include the median, trimmed mean, interquartile range (IQR), and median absolute deviation (MAD), all of which are resistant to contamination that would distort the classic mean and standard deviation.	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.