A review on outliers-detection methods for multivariate data
Data in practice are often of high dimension and multivariate in nature. Detection of outliers has been one of the problems in multivariate analysis. Detecting outliers in multivariate data is difficult and it is not sufficient by using only graphical inspection. In this paper, a nontechnical and br...
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| Language: | English English |
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Institute of Statistics Malaysia (ISMy)
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/31672/ http://umpir.ump.edu.my/id/eprint/31672/1/30586 http://umpir.ump.edu.my/id/eprint/31672/2/2021%20Abd%20Mutalib%20et%20al%20JOSMA.pdf |
| _version_ | 1848823827124977664 |
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| author | Sharifah Sakinah, Syed Abd Mutalib Siti Zanariah, Satari Wan Nur Syahidah, Wan Yusoff |
| author_facet | Sharifah Sakinah, Syed Abd Mutalib Siti Zanariah, Satari Wan Nur Syahidah, Wan Yusoff |
| author_sort | Sharifah Sakinah, Syed Abd Mutalib |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Data in practice are often of high dimension and multivariate in nature. Detection of outliers has been one of the problems in multivariate analysis. Detecting outliers in multivariate data is difficult and it is not sufficient by using only graphical inspection. In this paper, a nontechnical and brief outlier detection method for multivariate data which are projection pursuit method, methods based on robust distance and cluster analysis are reviewed. The strengths and weaknesses of each method are briefly discussed. |
| first_indexed | 2025-11-15T03:03:19Z |
| format | Article |
| id | ump-31672 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:03:19Z |
| publishDate | 2021 |
| publisher | Institute of Statistics Malaysia (ISMy) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-316722021-07-19T07:23:11Z http://umpir.ump.edu.my/id/eprint/31672/ A review on outliers-detection methods for multivariate data Sharifah Sakinah, Syed Abd Mutalib Siti Zanariah, Satari Wan Nur Syahidah, Wan Yusoff QA Mathematics Data in practice are often of high dimension and multivariate in nature. Detection of outliers has been one of the problems in multivariate analysis. Detecting outliers in multivariate data is difficult and it is not sufficient by using only graphical inspection. In this paper, a nontechnical and brief outlier detection method for multivariate data which are projection pursuit method, methods based on robust distance and cluster analysis are reviewed. The strengths and weaknesses of each method are briefly discussed. Institute of Statistics Malaysia (ISMy) 2021-07-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31672/1/30586 pdf en http://umpir.ump.edu.my/id/eprint/31672/2/2021%20Abd%20Mutalib%20et%20al%20JOSMA.pdf Sharifah Sakinah, Syed Abd Mutalib and Siti Zanariah, Satari and Wan Nur Syahidah, Wan Yusoff (2021) A review on outliers-detection methods for multivariate data. ournal of Statistical Modeling and Analytics, 3 (1). pp. 1-15. (Published) https://doi.org/10.22452/josma.vol3no1.1 |
| spellingShingle | QA Mathematics Sharifah Sakinah, Syed Abd Mutalib Siti Zanariah, Satari Wan Nur Syahidah, Wan Yusoff A review on outliers-detection methods for multivariate data |
| title | A review on outliers-detection methods for multivariate data |
| title_full | A review on outliers-detection methods for multivariate data |
| title_fullStr | A review on outliers-detection methods for multivariate data |
| title_full_unstemmed | A review on outliers-detection methods for multivariate data |
| title_short | A review on outliers-detection methods for multivariate data |
| title_sort | review on outliers-detection methods for multivariate data |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/31672/ http://umpir.ump.edu.my/id/eprint/31672/ http://umpir.ump.edu.my/id/eprint/31672/1/30586 http://umpir.ump.edu.my/id/eprint/31672/2/2021%20Abd%20Mutalib%20et%20al%20JOSMA.pdf |