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Publication
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| Research Title |
A METHOD FOR OUTLIER DETECTION IN UNIVARIATE CIRCULARDATA USING PARTITIONING DATA |
| Date of Distribution |
7 June 2023 |
| Conference |
| Title of the Conference |
The 48th International Congress on Science, Technology and Technology-based Innovation (STT48) |
| Organiser |
สมาคมวิทยาศาสตร์แห่งประเทศไทย |
| Conference Place |
มหาวิทยาลัยวลัยลักษณ์ |
| Province/State |
นครศรีธรรมราช |
| Conference Date |
29 November 2022 |
| To |
1 December 2022 |
| Proceeding Paper |
| Volume |
2022 |
| Issue |
1 |
| Page |
308-314 |
| Editors/edition/publisher |
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| Abstract |
Circular data is the value of the direction data and is recorded in the form of an angle.
Many fields, such as geology, biology, meteorology, physics, psychology, image analysis,
and medicine, correspond to this data. Circular data in the data analysis is still concerned
about the outliers because the dataset can be obtained the outliers. The outliers can indicate
some properties or anomalies of the sample unit. This research aims to propose a method for
detecting outliers for univariate circular data that can detect outliers appropriately and should
be easy to implement. The concept of the proposed method is based on the summation of the
distance between any point and any other point, and then the partitioning of the data. The
performance of the proposed method is evaluated in the simulation study. The results show
that the proposed method has a preference over the other methods. Also, the outliers using
this method for one real dataset are illustrated. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
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| Citation |
0
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Journal Publication
ไทย