Adnan, Robiah and Setan, Halim and Mohammad, M N (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.
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Abstract
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).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | least trimmed of squares, regression, clustering algorithm |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Geoinformation Science And Engineering (Formerly known) |
| ID Code: | 1215 |
| Deposited By: | En. Tajul Ariffin Musa |
| Deposited On: | 01 Mar 2007 02:56 |
| Last Modified: | 01 Jun 2010 02:52 |
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