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| Устойчив честотен анализ× | Robustни описателни статистики× | |
|---|---|---|
| Област | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Година на възникване≠ | 1970s–1980s (foundations); applied to frequency analysis throughout the 1990s–2000s | 1960s–1970s |
| Създател≠ | Huber, Hampel, Wilcox and the robust statistics tradition | John W. Tukey, Peter J. Huber, Frank Hampel |
| Тип≠ | Robust descriptive and inferential procedure | Resistant summary measures |
| Основополагащ източник≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165 |
| Други названия≠ | robust count analysis, outlier-resistant frequency analysis, robust distributional analysis | resistant statistics, outlier-resistant summary statistics, robust summary measures, robust location and scale estimation |
| Свързани≠ | 3 | 5 |
| Резюме≠ | Robust frequency analysis applies outlier-resistant estimation and resampling or exact methods to the counting and tabulation of categorical data, reducing the distortion caused by extreme observations, sparse cells, or violations of large-sample assumptions that can make conventional frequency summaries misleading. | 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. |
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