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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Main Authors: Adnan, Robiah, Setan, Halim, Mohammad, Mohd. Nor
Format: Conference or Workshop Item
Language:English
Published: 2001
Subjects:
Online Access:http://eprints.utm.my/1215/
http://eprints.utm.my/1215/1/Session_X_Paper_5.pdf
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author Adnan, Robiah
Setan, Halim
Mohammad, Mohd. Nor
author_facet Adnan, Robiah
Setan, Halim
Mohammad, Mohd. Nor
author_sort Adnan, Robiah
building UTeM Institutional Repository
collection Online Access
description 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 fit by least trimmed of squares (LTS).
first_indexed 2025-11-15T20:36:27Z
format Conference or Workshop Item
id utm-1215
institution Universiti Teknologi Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T20:36:27Z
publishDate 2001
recordtype eprints
repository_type Digital Repository
spelling utm-12152017-09-12T06:10:56Z http://eprints.utm.my/1215/ Identifying multiple outliers in linear regression : Robust fit and clustering approach Adnan, Robiah Setan, Halim Mohammad, Mohd. Nor TA Engineering (General). Civil engineering (General) 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 fit by least trimmed of squares (LTS). 2001-03 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/1215/1/Session_X_Paper_5.pdf Adnan, Robiah and Setan, Halim and Mohammad, Mohd. Nor (2001) Identifying multiple outliers in linear regression : Robust fit and clustering approach. In: The 10th FIG International Symposium on Deformation Measurements, 19 - 22 March 2001, Orange,,California,USA.
spellingShingle TA Engineering (General). Civil engineering (General)
Adnan, Robiah
Setan, Halim
Mohammad, Mohd. Nor
Identifying multiple outliers in linear regression : Robust fit and clustering approach
title Identifying multiple outliers in linear regression : Robust fit and clustering approach
title_full Identifying multiple outliers in linear regression : Robust fit and clustering approach
title_fullStr Identifying multiple outliers in linear regression : Robust fit and clustering approach
title_full_unstemmed Identifying multiple outliers in linear regression : Robust fit and clustering approach
title_short Identifying multiple outliers in linear regression : Robust fit and clustering approach
title_sort identifying multiple outliers in linear regression : robust fit and clustering approach
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/1215/
http://eprints.utm.my/1215/1/Session_X_Paper_5.pdf