wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression

dc.contributor.authorSchoch, Tobias
dc.date.accessioned2023-12-18T14:31:23Z
dc.date.available2023-12-18T14:31:23Z
dc.date.issued2021-06-15
dc.description.abstractThe 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).
dc.description.urihttps://CRAN.R-project.org/package=wbacon
dc.description.version0.6
dc.identifier.doihttps://doi.org/10.21105/joss.03238
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/38751
dc.publisherInstitute for Competitiveness and Communication, Hochschule für Wirtschaft FHNW
dc.sourceR, C
dc.spatialOlten
dc.subjectMultivariate outlier detection
dc.subjectRobust linear regression
dc.subject.ddc003 - Systeme
dc.titlewbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression
dc.type09 - Software
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitute for Competitiveness and Communicationde_CH
relation.isAuthorOfPublication39a57657-8c2e-4332-ac6f-ab07436a9fcb
relation.isAuthorOfPublication.latestForDiscovery39a57657-8c2e-4332-ac6f-ab07436a9fcb
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