The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Fast Very Robust Methods for the Detection of Multiple Outliers
Abstract
A few repeats of a simple forward search from a random starting point are shown to provide sufficiently robust parameter estimates to reveal masked multiple outliers. The stability of the patterns obtained is exhibited by the stalactite plot. The robust estimators used are least median of squares for regression and the minimum volume ellipsoid for multivariate outliers. The forward search also has potential as an algorithm for calculation of these parameter estimates. For large problems, parallel computing provides appreciable reduction in computational time.
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Cites
(2005) · Technometrics · doi:10.1198/tech.2005.s303 · Cited by 17,923
Robust Regression and Outlier Detection
Piepel, G. F. (1989) · Technometrics · doi:10.1080/00401706.1989.10488524 · Cited by 6,144
Robust Regression and Outlier Detection
Rousseeuw, P. J., & Leroy, A. M. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/0471725382 · Cited by 5,609
Least Median of Squares Regression
Rousseeuw, P. J. (1984) · Journal of the American Statistical Association · doi:10.1080/01621459.1984.10477105 · Cited by 3,835
(1947) · The American Statistician · doi:10.1080/00031305.1947.10501534 · Cited by 3,660
Beckman, R. J. (1987) · Technometrics · doi:10.1080/00401706.1987.10488195 · Cited by 2,835
Residuals and Influence in Regression
Ling, R. F. (1984) · Technometrics · doi:10.1080/00401706.1984.10487996 · Cited by 2,642
Residuals and Influence in Regression.
Atkinson, A. C., Cook, R. D., & Weisberg, S. (1983) · Biometrics · doi:10.2307/2531125 · Cited by 1,904
Self-citationUnmasking Multivariate Outliers and Leverage Points
Rousseeuw, P. J., & van Zomeren, B. C. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10474920 · Cited by 1,508
Journal of the Royal Statistical Society.
(1921) · The Economic Journal · doi:10.1093/ej/31.121.133 · Cited by 1,465
Cited by
Outlier Detection Using Replicator Neural Networks
Hawkins, S., He, H., Williams, G., & Baxter, R. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-46145-0_17 · Cited by 710
Identification of Outliers in Multivariate Data
Rocke, D. M., & Woodruff, D. L. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476975 · Cited by 360
A comparative study of RNN for outlier detection in data mining
Williams, G., Baxter, R., He, H., Hawkins, S., & Gu, L. (2003) · 2002 IEEE International Conference on Data Mining, 2002. Proceedings. · doi:10.1109/icdm.2002.1184035 · Cited by 277
Multivariate Outlier Detection and Robust Covariance Matrix Estimation
Peña, D., & Prieto, F. J. (2001) · Technometrics · doi:10.1198/004017001316975899 · Cited by 274
A Disruption in the Balance of Attentional Systems Plays a Role in Trait Anxiety
Minnick, M. R., Pérez-Edgar, K. E., & Soto, J. A. (2020) · Brain Sciences · doi:10.3390/brainsci10100761 · Cited by 9
Metadata
- Authors
- Atkinson, A. C.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1994-12
- Volume
- 89
- Issue
- 428
- Pages
- 1329-1339
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2008332864
- Cited by
- 269
- References
- 34
- FWCI
- 5.81
- 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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