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Robuste deskriptive Statistik×Robuste Einstrahl-Varianzanalyse×
FachgebietStatistikStatistik
FamilieHypothesis testHypothesis test
Entstehungsjahr1960s–1970s1951 (Welch); 1990s–2000s (trimmed-mean variants)
UrheberJohn W. Tukey, Peter J. Huber, Frank HampelB. L. Welch; R. R. Wilcox (trimmed-mean extension)
TypResistant summary measuresRobust parametric group comparison
Wegweisende QuelleTukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
Aliasnamenresistant statistics, outlier-resistant summary statistics, robust summary measures, robust location and scale estimationtrimmed-mean ANOVA, Welch one-way ANOVA, heteroscedastic one-way ANOVA, robust ANOVA
Verwandt52
ZusammenfassungRobust 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.Robust one-way ANOVA compares the central tendency of three or more independent groups while resisting the distorting effects of outliers and heterogeneous variances. By replacing ordinary means with trimmed means and ordinary variances with Winsorized variances, it maintains accurate Type I error control and strong power when classical ANOVA assumptions are violated.
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ScholarGateMethoden vergleichen: Robust Descriptive Statistics · Robust one-way ANOVA. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare