Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Aangepaste boxplot voor scheve verdelingen× | Jackknife Resampling× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 2008 | 1956 |
| Grondlegger≠ | Hubert & Vandervieren | Quenouille (1956); reviewed by Miller (1974) |
| Type≠ | Robust outlier detection / descriptive visualization | Resampling / bias and variance estimation |
| Oorspronkelijke bron≠ | Hubert, M. & Vandervieren, E. (2008). An Adjusted Boxplot for Skewed Distributions. Computational Statistics & Data Analysis, 52(12), 5186-5201. DOI ↗ | Quenouille, M. H. (1956). Notes on Bias in Estimation. Biometrika, 43(3/4), 353-360. DOI ↗ |
| Aliassen | adjusted box plot, medcouple boxplot, skewness-adjusted boxplot, Düzeltilmiş Kutu Grafiği (Adjusted Boxplot) | leave-one-out resampling, Quenouille-Tukey jackknife, delete-one jackknife, Jackknife Yeniden Örnekleme |
| Verwant | 5 | 5 |
| Samenvatting≠ | 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. | The jackknife is a classical resampling method that estimates the bias and variance of a statistic by systematically recomputing it with one observation left out at a time. Introduced by Quenouille in 1956 and later reviewed by Miller in 1974, it predates the bootstrap and remains a simple, deterministic tool for assessing estimator stability. |
| ScholarGateGegevensset ↗ |
|
|