Distance-based regression for non-normal data
Distance-based regression (DBR) is a good alternative method for estimating the unknown parameters in regression modeling when dealing with mixed-type of exploratory variables. The concept of DBR is similar to classical linear regression (LR), but the explanatory variables are measured based on dist...
Main Authors: | Haron, Nor Hisham, Ahad, Nor Aishah, Mahat, Nor Idayu |
---|---|
Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2019
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/27052/1/haron2019.pdf |
Similar Items
-
A SAS program to assess the sensitivity of normality tests on non-normal data
by: Sin, Yin Teh, et al.
Published: (2013) -
Double-stage features extraction for Malays vowel classification using multinomial logistic regression
by: Yusof, S. A. M., et al.
Published: (2018) -
The factor affecting Malaysian citizens satisfaction with open government data
by: Ahmed, Mohammed Shihab, et al.
Published: (2017) -
The new model to enhance the user's intentions to use open government data
by: Ahmed, Mohammed Shihab, et al.
Published: (2017) -
Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
by: Mahat, Nor Idayu, et al.
Published: (2015)