A method to simulate multivariate outliers with known mahalanobis distances for normal and non-normal data
Monte Carlo simulations and theoretical analyses have repeatedly demonstrated the impact of outliers on statistical analysis. Most simulation studies generate outliers using one of two general approaches: by multiplying an arbitrary point by a constant or through a finite mixture. The latter can be...
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
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Elsevier
2024-12-01
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| Sarja: | Methods in Psychology |
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| Linkit: | http://www.sciencedirect.com/science/article/pii/S2590260124000237 |