The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Identification of Outliers in Multivariate Data
Open accessAbstract
New insights are given into why the problem of detecting multivariate outliers can be difficult and why the difficulty increases with the dimension of the data. Significant improvements in methods for detecting outliers are described, and extensive simulation experiments demonstrate that a hybrid method extends the practical boundaries of outlier detection capabilities. Based on simulation results and examples from the literature, the question of what levels of contamination can be detected by this algorithm as a function of dimension, computation time, sample size, contamination fraction, and distance of the contamination from the main body of data is investigated. Software to implement the methods is available from the authors and STATLIB.
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Cites
Huber, P. J. (1981) · Wiley Series in Probability and Statistics · doi:10.1002/0471725250 · Cited by 7,066
Hawkins, D. M. (1980) · doi:10.1007/978-94-015-3994-4 · Cited by 2,982
Cited by
Liu, F. T., Ting, K. M., & Zhou, Z.-H. (2008) · 2008 Eighth IEEE International Conference on Data Mining · doi:10.1109/icdm.2008.17 · Cited by 6,601
ROBPCA: A New Approach to Robust Principal Component Analysis
Hubert, M., Rousseeuw, P. J., & Vanden Branden, K. (2005) · Technometrics · doi:10.1198/004017004000000563 · Cited by 1,052
An Object-Oriented Framework for Robust Multivariate Analysis
Todorov, V., & Filzmoser, P. (2009) · Journal of Statistical Software · doi:10.18637/jss.v032.i03 · Cited by 420
Improved quality control processing of peptide-centric LC-MS proteomics data
Matzke, M. M., Waters, K. M., Metz, T. O., Jacobs, J. M., Sims, A. C., Baric, R. S., Pounds, J. G., & Webb-Robertson, B.-J. M. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr479 · Cited by 107
Metadata
- Authors
- Rocke, D. M., & Woodruff, D. L.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1996-09
- Volume
- 91
- Issue
- 435
- Pages
- 1047-1061
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2090768248
- Cited by
- 360
- References
- 2
- FWCI
- 9.50
- Type
- journal article
- Language
- en
- Open access
- green
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- Rocke, D. M., & Woodruff, D. L. (1996). Identification of Outliers in Multivariate Data. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1996.10476975
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
