Detection of different outlier scenarios in circular regression model using single-linkage method
Outliers are the set of data that are significantly deviates or dissimilar from the rest of the data set. In circular regression model, the existence of outliers are well known to give a large effect on the parameter estimates and inferences. In this study, we proposed clustering-based method using...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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IOP Publishing
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/22307/1/Detection%20of%20different%20outlier%20scenarios.pdf |
| _version_ | 1796992922074218496 |
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| author | N. M. F., Di Siti Zanariah, Satari Roslinazairimah, Zakaria |
| author_facet | N. M. F., Di Siti Zanariah, Satari Roslinazairimah, Zakaria |
| author_sort | N. M. F., Di |
| collection | UMP |
| description | Outliers are the set of data that are significantly deviates or dissimilar from the rest of the data set. In circular regression model, the existence of outliers are well known to give a large effect on the parameter estimates and inferences. In this study, we proposed clustering-based method using single linkage to detect multiple outliers. Single-linkage is one of several clustering methods, where the distance between two clusters is determined by a single pair element that are closest to each other. We examined two outlier scenarios with a certain degree of contamination. The performance of proposed method on different outlier scenarios are compared and the best method for each outlier scenario is chosen |
| first_indexed | 2024-03-06T12:26:43Z |
| format | Conference or Workshop Item |
| id | UMPir22307 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:26:43Z |
| publishDate | 2017 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | UMPir223072018-10-03T04:06:14Z http://umpir.ump.edu.my/id/eprint/22307/ Detection of different outlier scenarios in circular regression model using single-linkage method N. M. F., Di Siti Zanariah, Satari Roslinazairimah, Zakaria QA Mathematics Outliers are the set of data that are significantly deviates or dissimilar from the rest of the data set. In circular regression model, the existence of outliers are well known to give a large effect on the parameter estimates and inferences. In this study, we proposed clustering-based method using single linkage to detect multiple outliers. Single-linkage is one of several clustering methods, where the distance between two clusters is determined by a single pair element that are closest to each other. We examined two outlier scenarios with a certain degree of contamination. The performance of proposed method on different outlier scenarios are compared and the best method for each outlier scenario is chosen IOP Publishing 2017 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/22307/1/Detection%20of%20different%20outlier%20scenarios.pdf N. M. F., Di and Siti Zanariah, Satari and Roslinazairimah, Zakaria (2017) Detection of different outlier scenarios in circular regression model using single-linkage method. In: Journal of Physics: Conference Series, 1st International Conference on Applied & Industrial Mathematics and Statistics 2017 (ICoAIMS 2017) , 8-10 August 2017 , Kuantan, Pahang, Malaysia. pp. 1-5., 890. ISSN 1742-6588 (print); 1742-6596 (online) https://doi.org/10.1088/1742-6596/890/1/012127 |
| spellingShingle | QA Mathematics N. M. F., Di Siti Zanariah, Satari Roslinazairimah, Zakaria Detection of different outlier scenarios in circular regression model using single-linkage method |
| title | Detection of different outlier scenarios in circular regression model using single-linkage method |
| title_full | Detection of different outlier scenarios in circular regression model using single-linkage method |
| title_fullStr | Detection of different outlier scenarios in circular regression model using single-linkage method |
| title_full_unstemmed | Detection of different outlier scenarios in circular regression model using single-linkage method |
| title_short | Detection of different outlier scenarios in circular regression model using single-linkage method |
| title_sort | detection of different outlier scenarios in circular regression model using single linkage method |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/22307/1/Detection%20of%20different%20outlier%20scenarios.pdf |
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