Aceh International Journal of Science and Technology
Vol 11, No 1 (2022): April 2022

Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences

Anwar Fitrianto (Department of Statistics, IPB University)
Wan Zuki Azman Wan Muhamad (Institute of Engineering Mathematics Universiti Malaysia Perlis)
Suliana Kriswan (Department of Mathematics Universiti Putra Malaysia)
Budi Susetyo (Department of Statistics IPB University)

Article Info

Publish Date
24 Apr 2022

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 was used in the study. Based on preliminary outlier identification, the data did not contain outliers. Each outlier detection method's performance 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.

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Journal Info
Aceh International Journal of Science and Technology
Website

Abbrev

AIJST

Publisher

Universitas Syiah Kuala

Subject

Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences

Description

Aceh International Journal of Science & Technology (AIJST) is published by the Graduate School of Syiah Kuala University (PPs Unsyiah) and the Indonesian Soil Science Association (Himpunan Ilmu Tanah Indonesia, Komda Aceh). It is devoted to identifying, mapping, understanding, and interpreting new ...