手法を比較

	ロバスト記述統計	ロバストピアソン相関
分野	統計学	統計学
系統	Hypothesis test	Hypothesis test
提唱年	1960s–1970s	1970s–1990s
提唱者	John W. Tukey, Peter J. Huber, Frank Hampel	Rand R. Wilcox and predecessors in robust statistics
種類	Resistant summary measures	Robust bivariate association measure
原典	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
別名	resistant statistics, outlier-resistant summary statistics, robust summary measures, robust location and scale estimation	winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation
関連	5	3
概要	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 Pearson correlation is an outlier-resistant measure of linear association between two continuous variables. By applying Winsorizing, trimming, or percentage-bend transformations before computing the classic Pearson r, it retains the interpretability of a correlation coefficient while dramatically reducing the distortion caused by extreme values.