Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences
Outliers identification is essential in data analysis since it can make wrong inferential statistics. This study aimed to compare the performance of Boxplot, Generalized Extreme Studentized Deviate (Generalized ESD), and Sequential Fences method in identifying outliers. A published dataset wasused i...
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| Format: | Article |
| Language: | English |
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Syiah Kuala University
2022-04-01
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| Series: | Aceh International Journal of Science and Technology |
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| Online Access: | https://jurnal.usk.ac.id/AIJST/article/view/23809 |
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| author | Anwar Fitrianto* Wan Zuki Azman Wan Muhamad Suliana Kriswan Budi Susetyo |
| author_facet | Anwar Fitrianto* Wan Zuki Azman Wan Muhamad Suliana Kriswan Budi Susetyo |
| author_sort | Anwar Fitrianto* |
| collection | DOAJ |
| description | Outliers identification is essential in data analysis since it can make wrong inferential statistics. This study aimed to compare the performance of Boxplot, Generalized Extreme Studentized Deviate (Generalized ESD), and Sequential Fences method in identifying outliers. A published dataset wasused in the study. Based on preliminary outlier identification, the data did not contain outliers. Each outlier detection method'sperformance was evaluated by contaminating the original data with few outliers. The contaminations were conducted by replacing the two smallest and largest observations with outliers. The analysis was conducted using SAS version 9.2 for both original and contaminated data. We found that Sequential Fences have outstanding performance in identifying outliers compared to Boxplot and Generalized ESD. |
| format | Article |
| id | doaj-art-91409daf92ce4e93a1753e182bdc1b8c |
| institution | DOAJ |
| issn | 2088-9860 |
| language | English |
| publishDate | 2022-04-01 |
| publisher | Syiah Kuala University |
| record_format | Article |
| series | Aceh International Journal of Science and Technology |
| spelling | doaj-art-91409daf92ce4e93a1753e182bdc1b8c2025-08-20T02:58:30ZengSyiah Kuala UniversityAceh International Journal of Science and Technology2088-98602022-04-01111384510.13170/aijst.11.1.2380914152Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential FencesAnwar Fitrianto*0Wan Zuki Azman Wan Muhamad1Suliana Kriswan2Budi Susetyo3IPB UniversityUniversiti Malaysia PerlisUniversiti Putra MalaysiaIPB UniversityOutliers identification is essential in data analysis since it can make wrong inferential statistics. This study aimed to compare the performance of Boxplot, Generalized Extreme Studentized Deviate (Generalized ESD), and Sequential Fences method in identifying outliers. A published dataset wasused in the study. Based on preliminary outlier identification, the data did not contain outliers. Each outlier detection method'sperformance was evaluated by contaminating the original data with few outliers. The contaminations were conducted by replacing the two smallest and largest observations with outliers. The analysis was conducted using SAS version 9.2 for both original and contaminated data. We found that Sequential Fences have outstanding performance in identifying outliers compared to Boxplot and Generalized ESD.https://jurnal.usk.ac.id/AIJST/article/view/23809outlier, esd, boxplot, performance, errors, generalized |
| spellingShingle | Anwar Fitrianto* Wan Zuki Azman Wan Muhamad Suliana Kriswan Budi Susetyo Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences Aceh International Journal of Science and Technology outlier, esd, boxplot, performance, errors, generalized |
| title | Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences |
| title_full | Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences |
| title_fullStr | Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences |
| title_full_unstemmed | Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences |
| title_short | Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences |
| title_sort | comparing outlier detection methods using boxplot generalized extreme studentized deviate and sequential fences |
| topic | outlier, esd, boxplot, performance, errors, generalized |
| url | https://jurnal.usk.ac.id/AIJST/article/view/23809 |
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