The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Outlier detection for skewed data
Abstract
Most outlier detection rules for multivariate data are based on the assumption of elliptical symmetry of the underlying distribution. We propose an outlier detection method which does not need the assumption of symmetry and does not rely on visual inspection. Our method is a generalization of the Stahel–Donoho outlyingness. The latter approach assigns to each observation a measure of outlyingness, which is obtained by projection pursuit techniques that only use univariate robust measures of location and scale. To allow skewness in the data, we adjust this measure of outlyingness by using a robust measure of skewness as well. The observations corresponding to an outlying value of the adjusted outlyingness (AO) are then considered as outliers. For bivariate data, our approach leads to two graphical representations. The first one is a contour plot of the AO values. We also construct an extension of the boxplot for bivariate data, in the spirit of the bagplot which is based on the concept of half space depth. We illustrate our outlier detection method on several simulated and real data. Copyright © 2008 John Wiley & Sons, Ltd.
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Robust Regression and Outlier Detection
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Robust Statistics: Theory and Methods
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Cited by
Coe, B. P., Witherspoon, K., Rosenfeld, J. A., van Bon, B. W. M., Vulto-van Silfhout, A. T., Bosco, P., Friend, K. L., Baker, C., Buono, S., Vissers, L. E. L. M., et al. (2014) · Nature Genetics · doi:10.1038/ng.3092 · Cited by 720
Estimates of penetrance for recurrent pathogenic copy-number variations
Rosenfeld, J. A., Coe, B. P., Eichler, E. E., Cuckle, H., & Shaffer, L. G. (2013) · Genetics in Medicine · doi:10.1038/gim.2012.164 · Cited by 425
Bronstein, M. V., Pennycook, G., Bear, A., Rand, D. G., & Cannon, T. D. (2019) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2018.09.005 · Cited by 324
Focal cortical dysplasias in autism spectrum disorders
Casanova, M. F., El-Baz, A. S., Kamat, S. S., Dombroski, B. A., Khalifa, F., Elnakib, A., Soliman, A., Allison-McNutt, A., & Switala, A. E. (2013) · Acta Neuropathologica Communications · doi:10.1186/2051-5960-1-67 · Cited by 150
Towards a value theory for personal data
Spiekermann, S., & Korunovska, J. (2017) · Journal of Information Technology · doi:10.1057/jit.2016.4 · Cited by 99
Metadata
- Authors
- Hubert, M., & Van der Veeken, S.
- Venue
- Journal of Chemometrics
- Publisher
- Wiley
- Published
- 2008-03
- Volume
- 22
- Issue
- 3-4
- Pages
- 235-246
- ISSN
- 0886-9383 (ISSN-L)
- 1099-128X
- OpenAlex
- W2161893281
- Cited by
- 286
- References
- 32
- FWCI
- 6.52
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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