Modified one-step M-estimator with robust scale estimator for multivariate data
The Modified One-step M-estimator (MOM) is a highly efficient robust estimator for classifying multivariate data. Generally, robust estimators came into existence as a solution to the inability of classical Linear Discriminant Analysis (LDA) to perform optimally in the presence of outliers. Thus, to...
Saved in:
Main Authors: | Melik, Hameedah Naeem, Ahad, Nor Aishah, Syed Yahaya, Sharipah Soaad |
---|---|
Format: | Article |
Language: | English |
Published: |
Medwell Publishing
2018
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/27550/1/JEAS%2013%2024%202018%2010396-10400.pdf http://repo.uum.edu.my/27550/ http://doi.org/10.35940/ijitee.J9588.0881019 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robustification of CUSUM control structure for monitoring location shift of skewed distributions based on modified one-step M-estimator
by: Abdul Rahman, Ayu, et al.
Published: (2019) -
Robust linear discriminant analysis using MOM-Qn and WMOM-Qn estimators: Coordinate-wise approach
by: Melik, Hameedah Naeem
Published: (2017) -
Winsorized modified one step m-estimator in Alexander-Govern test
by: Ochuko, Tobi Kingsley, et al.
Published: (2015) -
Robust parameter estimation method for bilinear model
by: Ismail, Mohd Isfahani, et al.
Published: (2015) -
H-statistic with winsorized modified one-step M-estimator for two independent groups design
by: Ong, Gie Xao, et al.
Published: (2014)