Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Justert boksplott for skjeve fordelinger× | Median Absolute Deviation (MAD) Estimering× | |
|---|---|---|
| Fagfelt | Statistikk | Statistikk |
| Familie | Regression model | Regression model |
| Opprinnelsesår≠ | 2008 | 1974 |
| Opphavsperson≠ | Hubert & Vandervieren | Hampel (influence-curve treatment); classical robust statistics |
| Type≠ | Robust outlier detection / descriptive visualization | Robust scale estimator |
| Opprinnelig kilde≠ | Hubert, M. & Vandervieren, E. (2008). An Adjusted Boxplot for Skewed Distributions. Computational Statistics & Data Analysis, 52(12), 5186-5201. DOI ↗ | Hampel, F. R. (1974). The Influence Curve and Its Role in Robust Estimation. Journal of the American Statistical Association, 69(346), 383-393. DOI ↗ |
| Alias | adjusted box plot, medcouple boxplot, skewness-adjusted boxplot, Düzeltilmiş Kutu Grafiği (Adjusted Boxplot) | median absolute deviation, MAD scale estimator, robust scale estimation, Medyan Mutlak Sapma (MAD) Tahmini |
| Relaterte | 5 | 5 |
| Sammendrag≠ | The Adjusted Boxplot is a robust descriptive tool introduced by Hubert and Vandervieren (2008) that corrects the classical IQR-based boxplot for skewness using the medcouple statistic, reducing the false labelling of outliers in asymmetric data. | Median Absolute Deviation estimation is a robust measure of statistical dispersion that replaces the standard deviation when outliers are present. Rooted in the influence-curve framework formalised by Hampel (1974), it summarises the spread of a continuous variable using medians instead of means, so a single extreme value cannot distort the result. |
| ScholarGateDatasett ↗ |
|
|