Siti Zanariah, Satari and Ku Muhammad Naim, Ku Khalif (2020) Review on outliers identification methods for univariate circular biological data. Advances in Science, Technology and Engineering Systems Journal, 5 (2). pp. 95-103. ISSN 2415-6698. (Published)
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Abstract
Circular data are common in biological studies which are involved angle and direction measurements. An outlier in circular biological data mostly related to the abnormality of the data set. The existence of outliers may affect the final outcome of a data analysis. Thus, an outliers’ identification method is essential in circular biological data to determine the stage of abnormality for the sample that has been studied. Past studies were mostly focusing on detecting outliers for multivariate circular biological data. However, identifying outlier for univariate data is more essential in the abnormality stage investigation. In this study, outliers’ identification methods for univariate circular biological data have been reviewed. The strength and weaknesses of the methods are investigated and discussed.
| Item Type: | Article |
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| Subjects: | Q Science > QA Mathematics |
| Faculty/Division: | Center for Mathematical Science |
| Depositing User: | Ms. Siti Zanariah Satari |
| Date Deposited: | 19 Jul 2021 07:36 |
| Last Modified: | 19 Jul 2021 07:36 |
| URI: | http://umpir.ump.edu.my/id/eprint/30293 |
| Download Statistic: | View Download Statistics |
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