Regularized multiple regression methods to deal with severe multicollinearity
This study aims to compare the performance of Ordinary Least Square (OLS), Least
Absolute Shrinkage and Selection Operator (LASSO), Ridge Regression (RR) and Principal …
Absolute Shrinkage and Selection Operator (LASSO), Ridge Regression (RR) and Principal …
A novel comparison of shrinkage methods based on multi criteria decision making in case of multicollinearity
Ș Kılıçoğlu, F Yerlikaya-Özkurt - Journal of Industrial and …, 2024 - aimsciences.org
Data analysis is very important in many fields of science. The most preferred methods in
data analysis is linear regression due to its simplicity to interpret and ease of application …
data analysis is linear regression due to its simplicity to interpret and ease of application …
The Effect of Exchange Rate on Gross Domestic Product (GDP) on the Nigerian Economy using ARDL-ECM approach.
This paper investigates the effect of exchange rate on gross domestic product (GDP) on the
Nigerian economy from 1981-2021. The data was obtained from the CBN annual statistical …
Nigerian economy from 1981-2021. The data was obtained from the CBN annual statistical …
[PDF][PDF] Handling multicollinearity; a comparative study of the prediction performance of some methods based on some probability distributions
This study used some probability distribution (Gamma, Beta and Chi-square distributions) to
assess the performance of partial least square regression (PLSR), ridge regression (RR) …
assess the performance of partial least square regression (PLSR), ridge regression (RR) …
Regularized Multiple Regression Methods to Deal with Severe Multicollinearity
N Nusyirwan - repository.lppm.unila.ac.id
This study aims to compare the performance of Ordinary Least Square (OLS), Least
Absolute Shrinkage and Selection Operator (LASSO), Ridge Regression (RR) and Principal …
Absolute Shrinkage and Selection Operator (LASSO), Ridge Regression (RR) and Principal …
[PDF][PDF] THE USE OF STANDARD SCORE FOR THE CONTROL OF MULTICOLLINEARITY IN MULTIPLE REGRESSION
EO Rita, H Nwankwo Chike - Journal of Basic Physical Research …, 2021 - researchgate.net
Multicollinearity is a peculiar problem in especially in Ordinary Linear and Non-Linear
Regression models. Researchers have made several attempts to the correction of …
Regression models. Researchers have made several attempts to the correction of …