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: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2001
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| Subjects: | |
| Online Access: | http://eprints.utm.my/1215/1/Session_X_Paper_5.pdf http://eprints.utm.my/1215/ |
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| _version_ | 1845470425631424512 |
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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 | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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). |
| format | Conference or Workshop Item |
| id | my.utm.eprints-1215 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2001 |
| record_format | eprints |
| spelling | my.utm.eprints-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/1215/1/Session_X_Paper_5.pdf http://eprints.utm.my/1215/ |
| url_provider | http://eprints.utm.my/ |