Comparing RCDU and Ga Statistics for Patch Of Outliers Detection in Von Mises (VM) Samples

Authors

  • Amirul Faidhi Bakhtiar Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), MALAYSIA
  • Adzhar Rambli Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), MALAYSIA
  • Ibrahim Mohamed Institute of Mathematical Sciences, University of Malaya, MALAYSIA
  • Zulaikha Amran Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), MALAYSIA
  • Nazim Aimran Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), MALAYSIA
  • Raiha Shazween Redzuan Centre for Foundation Studies in Science, University of Malaya, MALAYSIA

DOI:

https://doi.org/10.17576/jqma.22si.2026.17

Keywords:

RCDU statistic, Ga statistic, outliers, circular median, wind direction data

Abstract

This paper discovers a new comparison between two outlier detection methods, the Ga statistic and the RCDU statistic, for the identification of outliers in a patch in univariate circular data. This has not been studied in the existing literature before. The RCDU statistic, being an extension from the circular median, is compared to the Ga statistic constructed using the spacing theory. We compare the detection performance of two, three, and four outliers in a patch. The proportion of detecting a correct outlier is used to measure the performance for both test statistics by Monte Carlo simulation. The result shows that the RCDU statistic slightly outperforms the Ga statistic in most cases. This finding aligns with a practical example using coastal wind direction data.

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Published

31-05-2026

How to Cite

Bakhtiar, A. F., Rambli, A., Mohamed, I., Amran, Z., Aimran , N., & Redzuan , R. S. (2026). Comparing RCDU and Ga Statistics for Patch Of Outliers Detection in Von Mises (VM) Samples . Journal of Quality Measurement and Analysis, 22(SI), 311–321. https://doi.org/10.17576/jqma.22si.2026.17