Detection of multiple outliners in linear regression using nonparametric methods
There have been considerable interest in recent years in the detection and accommodation of multiple outliers in linear regression. However, most of them are complicated and unappealing to users with no mathematical background. The clustering algorithm from Sebert et al. (1998) is discussed and used...
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Format: | Monograph |
Language: | English |
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Universiti Teknologi Malaysia
2004
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Online Access: | http://eprints.utm.my/id/eprint/2997/1/75021.pdf http://eprints.utm.my/id/eprint/2997/ |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |