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| Стійкі описові статистики× | Робастний однофакторний дисперсійний аналіз× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1960s–1970s | 1951 (Welch); 1990s–2000s (trimmed-mean variants) |
| Автор методу≠ | John W. Tukey, Peter J. Huber, Frank Hampel | B. L. Welch; R. R. Wilcox (trimmed-mean extension) |
| Тип≠ | Resistant summary measures | Robust parametric group comparison |
| Основоположне джерело≠ | 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 |
| Інші назви | resistant statistics, outlier-resistant summary statistics, robust summary measures, robust location and scale estimation | trimmed-mean ANOVA, Welch one-way ANOVA, heteroscedastic one-way ANOVA, robust ANOVA |
| Пов'язані≠ | 5 | 2 |
| Підсумок≠ | 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. | 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. |
| ScholarGateНабір даних ↗ |
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