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                                       Details for article 9 of 26 found articles
 
 
  A Simulation Study of Ridge Regression Estimators with Autocorrelated Errors
 
 
Title: A Simulation Study of Ridge Regression Estimators with Autocorrelated Errors
Author: Firinguetti, Luis L.
Appeared in: Communications in statistics
Paging: Volume 18 (1989) nr. 2 pages 673-702
Year: 1989
Contents: In this paper we run a large number of simulations to study the effects of collinearity and autocorrelated disturbances in the performance of several Ridge Regression estimators. The results suggest that with a fair amount of multicollinearity and of autocorrelation the Ridge Regression estimators which take the autocorrelation into account can perform better than the other methods. Also if the error term is only moderately autocorrelated; then the performance of the Ridge Regression estimators built upon ignoring the autocorrelation can outperform the other estimators.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 9 of 26 found articles
 
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