Identifying multiple outliers in linear regression :
Robust fit and clustering approach

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Identifying multiple outliers in linear regression : Robust fit and clustering approach

This research provides a clustering based approach for determining potential candidates for outliers.This is a modification of the method proposed by Serbert et.al (1998).It is based on using the single linkage clustering algorithm to group the standardized predicted and residual values of data set...

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Bibliographic Details
Main Authors:	Adnan, Robiah, Setan, Halim, Mohammad, Mohd. Nor
Format:	Conference or Workshop Item
Language:	English
Published:	2001
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utm.my/1215/ http://eprints.utm.my/1215/1/Session_X_Paper_5.pdf

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