Robust Multiple Discriminant Rule with Hodges-Lehmann in Handling Equal Proportion of Cellwise-Casewise Outliers
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...
Main Authors: | Ahad, Nor Aishah, Pang, Yik Siong, Syed Yahaya, Sharipah Soaad, Abdullah, Suhaida |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/31056/1/ICOQSIA%202896%2001%202022%20050009-1%3D050009-7.pdf |
Similar Items
-
Robust Multiple Discriminant Rule Using Harrell-Davis\ Median Estimator: A Distribution-Free Approach to Cellwise-Casewise Outliers Coexistence
by: Pang, Yik Siong, et al.
Published: (2023) -
Robustness of S1 with Hodges-Lehmann
by: Ahad, Nor Aishah, et al.
Published: (2015) -
Robustness of S1 statistic with Hodges-Lehmann for skewed distributions
by: Ahad, Nor Aishah, et al.
Published: (2016) -
S1 statistic with Hodges-Lehmann in two groups case for skewed distribution
by: Yin, Lee Ping, et al.
Published: (2015) -
Hodges Lehmann estimator for robust design using Dual Response Surface Approach
by: Majid, Amani, et al.
Published: (2010)