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All Journal Aceh International Journal of Science and Technology
Kriswan, Suliana
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences

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Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences Fitrianto*, Anwar; Wan Muhamad, Wan Zuki Azman; Kriswan, Suliana; Susetyo, Budi
Aceh International Journal of Science and Technology Vol 11, No 1 (2022): April 2022
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.11.1.23809

Abstract

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.
Co-Authors Budi Susetyo Fitrianto, Anwar Wan Muhamad, Wan Zuki Azman