A Comparison Between Two Discordancy Tests to Identify Outlier in Wrapped Normal (WN) Samples

IF 0.7 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Sains Malaysiana Pub Date : 2023-07-31 DOI:10.17576/jsm-2023-5207-19

Nurisha Mohd Zulkefli, Adzhar Rambli, Mohamad Ismeth Khan Azhar Suhaimi, Ibrahim Mohamed, Raiha Shazween Redzuan

引用次数: 0

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.

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两种不一致检验在包裹正态(WN)样本中识别异常值的比较

本研究的重点是比较鲁棒圆距离(RCDU*)(简化版)和A统计量在包裹正态(WN)样本中检测单个异常值的性能。首先，本研究提出了一个简化版本的RCDU统计。然后，本文通过模拟研究生成了从WN样本中获取的两种统计数据的截止点。本研究还使用正确离群值检测的比例来评估两种统计数据的性能。因此，对于小样本量，RCDU*和a统计的性能并没有太大的差异。但是，对于n=250的大样本量，a统计性能略好于RCDU*统计。作为一个实际例子的说明，两种统计都成功地检测到Kota Bharu站风向数据中的一个异常值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sains Malaysiana MULTIDISCIPLINARY SCIENCES-

CiteScore

1.60

自引率

12.50%

发文量

196

审稿时长

3-6 weeks

期刊介绍： Sains Malaysiana is a refereed journal committed to the advancement of scholarly knowledge and research findings of the several branches of science and technology. It contains articles on Earth Sciences, Health Sciences, Life Sciences, Mathematical Sciences and Physical Sciences. The journal publishes articles, reviews, and research notes whose content and approach are of interest to a wide range of scholars. Sains Malaysiana is published by the UKM Press an its autonomous Editorial Board are drawn from the Faculty of Science and Technology, Universiti Kebangsaan Malaysia. In addition, distinguished scholars from local and foreign universities are appointed to serve as advisory board members and referees.