2012 ©
             Publication
Journal Publication
Research Title AN ALTERNATIVE METHOD TO DETECT OUTLIERS IN MULTIVARIATE DATA 
Date of Distribution 29 November 2022 
Conference
     Title of the Conference 48th INTERNATIONAL CONGRESS ON SCIENCE TECHNOLOGY AND TECHNOLOGY-BASED INNOVATION 
     Organiser สมาคมวิทยาศาสตร์แห่งประเทศไทยในพระบรมราชูปถัมภ์, Walailak University 
     Conference Place Walailak University 
     Province/State นครศรีธรรมราช 
     Conference Date 29 November 2022 
     To 1 December 2022 
Proceeding Paper
     Volume 48 
     Issue
     Page 299-307 
     Editors/edition/publisher สมาคมวิทยาศาสตร์แห่งประเทศไทยในพระบรมราชูปถัมภ์ 
     Abstract This study proposes techniques for finding outliers in multivariate data. It is based on the Mahalanobis distance and multiple linear regression. The Mahalanobis distance is used to filter the data across all variables to break the data set into two groups, i.e., normal data and data that might be outliers. After that, a multiple linear regression model is built using the normal data to provide a reliable estimate for the cut-off point. For figuring out how well the proposed method works, a simulation study is done with multivariate normal data with and without contaminated data at different levels: 0, 0.01, 0.05, and 0.10. The performance of the proposed method is compared with the earlier methods; Mahalanobis distance and Mahalanobis distance with the robust estimators using the minimum volume ellipsoid method, the minimum covariance determinant method, and the minimum vector variance method. The findings demonstrated that the proposed method effectively identifies the highest accuracy of outliers detected at all levels of contamination regardless of sample size or the number of variables. When the proposed method is used on real data, it also shows that it can find outlier values that are consistent with the real data. 
Author
635020004-3 Mr. THEERAPHAT THANWISET [Main Author]
Science Master's Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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