Detection of multiple outliners in linear regression using nonparametric methods

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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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Bibliographic Details
Main Author:	Adnan, Robiah
Format:	Monograph
Language:	English
Published:	Universiti Teknologi Malaysia 2004
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/2997/ http://eprints.utm.my/2997/1/75021.pdf

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