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On Multicollinearity and Artificial Neural Networks

On Multicollinearity and Artificial Neural Networks

von Kristine Joy Carpio
Softcover - 9783844327090
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Beschreibung

One of the many problems encountered in coming up with a multiple linear regression model is the presence of severe multicollinearity in the data set. In this work, the focus is on the mathematics of multicollinearity -- what it is, what it does to the model, how it can be detected and combated. Aside from the classical methods, artificial neural networks were also employed to combat multicollinearity. Softwares such as Statistical Package for the Social Science (SPPS) Release 7.0 and 10.0 for Windows, MATLAB version 5.3 and Stuttgart Neural Network Simulator (SNNS) version 4.1 were used to carry out the massive computations.

Theory and Application

Details

Verlag LAP LAMBERT Academic Publishing
Ersterscheinung 02. Mai 2011
Maße 22 cm x 15 cm x 0.6 cm
Gewicht 149 Gramm
Format Softcover
ISBN-13 9783844327090
Seiten 88