New Algorithm of Location Model based on Robust Estimators and Smoothing Approach
Location Model is a classification model that capable to deal with mixtures of binary and continuous variables simultaneously. The binary variables create segmentation in the groups called cells whilst the continuous variables measure the differences between groups based on information inside the ce...
Main Author: | Hamid, Hashibah |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/30824/1/IEEE%202017%201091-1093.pdf |
Similar Items
-
A new framework of smoothed location model with multiple correspondence analysis
by: Hamid, Hashibah
Published: (2016) -
New Location Model Based on Automatic Trimming and Smoothing Approaches
by: Hamid, Hashibah
Published: (2018) -
A New Framework of Smoothed Location
Model with Multiple Correspondence
Analysis
by: Hamid, Hashibah
Published: (2015) -
Alternative Methodology of Location Model for Handling Outliers and Empty Cells Problems: Winsorized Smoothed Location Model
by: Hamid, Hashibah
Published: (2019) -
Winsorized and Smoothed Estimation of the Location Model in Mixed Variables Discrimination
by: Hamid, Hashibah
Published: (2018)