Robust multicollinearity diagnostic measures based on minimum covariance determinants approach
The classical multicollinearity diagnostic measures are not resistant to high leverage points since their formulation are based on eigen analysis of classical correlation matrix that is very sensitive to the presence of these leverages. The existing robust multicollinearity diagnostics also are not...
Main Authors: | Midi, Habshah, Bagheri, Arezoo |
---|---|
Format: | Article |
Language: | English |
Published: |
Academy of Economic Studies
2013
|
Online Access: | http://psasir.upm.edu.my/id/eprint/35288/1/Robust%20multicollinearity%20diagnostic%20measures%20based%20on%20minimum%20covariance%20determinants%20approach.pdf |
Similar Items
-
The Application of Robust Multicollinearity Diagnostic Method Based on Robust Coefficient Determination to a Non-Collinear Data.
by: Midi, Habshah, et al.
Published: (2010) -
Robust estimations as a remedy for multicollinearity caused by multiple high leverage points
by: Bagheri, Arezoo, et al.
Published: (2009) -
Robust multicollinearity diagnostic measure for fixed effect panel data model
by: Ismaeel, Shelan Saied, et al.
Published: (2021) -
Robust Estimation Methods and Robust Multicollinearity Diagnostics for Multiple Regression Model in the Presence of High Leverage Collinearity-Influential Observations
by: Bagheri, Arezoo
Published: (2011) -
A monte carlo simulation study on high leverage collinearity-enhancing observation and its effect on multicollinearity pattern.
by: Midi, Habshah, et al.
Published: (2011)