Some Perspectives on Multivariate Outlier Detection-Reference-Cited by-同舟云学术

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Some Perspectives on Multivariate Outlier Detection

Published:2011 Issue: Volume: Page:231-238
ISSN:1431-8814
Container-title:Studies in Classification, Data Analysis, and Knowledge Organization
language:
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Author:

Cerioli Andrea,Atkinson Anthony C.,Riani Marco

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-11363-5_26.pdf

Reference18 articles.

1. Atkinson, A. C., Riani, M., & Cerioli, A. (2004). Exploring multivariate data with the forward search. New York: Springer–Verlag.

2. Atkinson, A. C., Riani, M., & Cerioli, A. (2010). The forward search: Theory and data analysis. With discussion. Journal of the Korean Statistical Society, 39, 161–163.

3. Barnett, V., & Lewis, T. (1994). Outliers in statistical data (3rd ed.). New York: Wiley.

4. Becker, C., & Gather, U. (2001). The largest nonidentifiable outlier: A comparison of multivariate simultaneous outlier identification rules. Computational Statistics and Data Analysis, 36, 119–127.

5. Caroni, C., & Prescott, P. (1992). Sequential application of Wilks’s multivariate outlier test. Applied Statistics, 41, 355–364.

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