Performance of ridge regression estimator methods on small sample size by varying correlation coefficients: a simulation study
When independent variables have high linear correlation in a multiple linear regression model, we can have wrong analysis. It happens if we do the multiple linear regression analysis based on common Ordinary Least Squares (OLS) method. In this situation, we are suggested to use ridge regression esti...
Saved in:
Main Authors: | Fitrianto, Anwar, Lee, Ceng Yik |
---|---|
Format: | Article |
Published: |
Science Publications
2014
|
Online Access: | http://psasir.upm.edu.my/id/eprint/34880/ http://thescipub.com/abstract/10.3844/jmssp.2014.25.29 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimation in regret-regression using quadratic inference functions with ridge estimator
by: Jalil, Nur Raihan Abdul, et al.
Published: (2022) -
The effect of high leverage points on the logistic ridge regression estimator having multicollinearity
by: Ariffin @ Mat Zin, Syaiba Balqish, et al.
Published: (2013) -
Weighted high leverage collinear robust ridge estimator in logistic regression model
by: Ariffin, Syaiba Balqish, et al.
Published: (2018) -
Ridge regression and its applications in genetic studies
by: Arashi, M., et al.
Published: (2021) -
Uncertain stochastic ridge estimation in partially linear regression models with elliptically distributed errors
by: Roozbeh, Mahdi, et al.
Published: (2020)