Comparison of the method of partial least squares and the algorithm of singular values decomposion to estimate the parameters of the logistic regression model in the case of the problem of linear multiplicity by using the simulation
DOI:
https://doi.org/10.33095/jeas.v24i109.1559Keywords:
Logistic regression, binary data, partial least square, algorithm singular value decomposition, multicollinearity.Abstract
The logistic regression model is an important statistical model showing the relationship between the binary variable and the explanatory variables. The large number of explanations that are usually used to illustrate the response led to the emergence of the problem of linear multiplicity between the explanatory variables that make estimating the parameters of the model not accurate.
The methods used to estimate the parameters of the logistic regression model in the case of the linear multiplication problem.
These methods are the method of regression of the partial least squares and the algorithm of singular value decomposion.
The simulation method was used to compare estimation methods through the mean error squares of the model.
It has been shown through the comparison that the algorithm of singular value decomposion is best in estimating the parameters of the logistic regression model in the case of the problem of linear multiplicity.
Downloads
Published
Issue
Section
License
Articles submitted to the journal should not have been published before in their current or substantially similar form, or be under consideration for publication with another journal. Please see JEAS originality guidelines for details. Use this in conjunction with the points below about references, before submission i.e. always attribute clearly using either indented text or quote marks as well as making use of the preferred Harvard style of formatting. Authors submitting articles for publication warrant that the work is not an infringement of any existing copyright and will indemnify the publisher against any breach of such warranty. For ease of dissemination and to ensure proper policing of use, papers and contributions become the legal copyright of the publisher unless otherwise agreed.
The editor may make use of Turnitin software for checking the originality of submissions received.
How to Cite
How to use the OJS system 
