Zulkefli, Nurisha mohd and Rambli, Adzhar and Suhaimi, Mohamad ismeth khan azhar and Mohamed, Ibrahim and Redzuan, Raiha shazween (2023) A comparison between two discordancy tests to identify outlier in wrapped normal (WN) samples. Sains Malaysiana, 52 (7). pp. 2139-2148. ISSN 0126-6039, DOI https://doi.org/10.17576/jsm-2023-5207-19.
Full text not available from this repository.Abstract
This study focuses on comparing the performance of the Robust Circular Distance (RCDU*) (simplified version) and A statistics in detecting a single outlier in the Wrapped Normal (WN) samples. Firstly, this study proposes a simplified version of RCDU statistic. Then, the paper generates the cut-off points for both statistics taken from WN samples via a simulation study. This study also evaluates the performance of both statistics using the proportion of a correct outlier detection. As a result, for a small sample size, the performance of RCDU* and A statistics do not have a huge difference. However, for a large sample size of n=250, A statistic performs slightly better than RCDU* statistic. As an illustration of a practical example, both statistics successfully detected one outlier present in the wind direction data at Kota Bharu station.
| Item Type: | Article |
|---|---|
| Funders: | Science and Technology Development Fund (STDF) Ministry of Higher Education & Scientific Research (MHESR) Ministry of Higher Education, Research & Innovation, Oman FRGS/1/2019/STG06/UITM/02/1, Pembiayaan Yuran Penerbitan Artikel (PYPA) scheme |
| Uncontrolled Keywords: | Circular data; Discordancy tests; Outliers; Wrapped normal distribution |
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Science > Institute of Mathematical Sciences |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 11 Oct 2025 04:55 |
| Last Modified: | 11 Oct 2025 04:55 |
| URI: | http://eprints.um.edu.my/id/eprint/48229 |
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