Robust Multiple Discriminant Rule with Hodges-Lehmann in Handling Equal Proportion of Cellwise-Casewise Outliers

• Main Authors: Ahad, Nor Aishah, Pang, Yik Siong, Syed Yahaya, Sharipah Soaad, Abdullah, Suhaida
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: QA Mathematics
• Online Access: https://repo.uum.edu.my/id/eprint/31056/1/ICOQSIA%202896%2001%202022%20050009-1%3D050009-7.pdf; https://repo.uum.edu.my/id/eprint/31056/; https://doi.org/10.1063/5.0177169

The presence of outliers in a dataset can cause the outcome of classical statistical tools to be inaccurate. Especially in a multivariate context, where researchers have to deal with either or both cellwise and casewise outliers. This study investigated the accuracy of the Multiple Discriminant Rule...