wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression
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15.06.2021
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09 - Software
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Institute for Competitiveness and Communication, Hochschule für Wirtschaft FHNW
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Olten
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0.6
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R, C
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Abstract
The BACON algorithms are methods for multivariate outlier nomination (detection) and robust linear regression by Billor, Hadi, and Velleman (2000, doi:10.1016/S0167-9473(99)00101-2). The extension to weighted problems is due to Beguin and Hulliger (2008, www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616); see also Schoch (2021, doi:10.21105/joss.03238).
Keywords
Multivariate outlier detection, Robust linear regression
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003 - Systeme
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Yes
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Citation
SCHOCH, Tobias, 2021. wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression. 15 Juni 2021. Olten: Institute for Competitiveness and Communication, Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/38751