Many methods have been developed to determine the "appropriate" subset of independent variables in a multiple variable problem. Some of the methods are application specific while others have a wide range of uses. This study compares two such methods, Regression Trees and Stepwise Regression. A simulation using a known distribution is used for the comparison. In 699 out of 742 cases the Regression Tree method gave better predictors than the Stepwise Regression procedure.
Identifer | oai:union.ndltd.org:unf.edu/oai:digitalcommons.unf.edu:etd-1154 |
Date | 01 January 1992 |
Creators | Jacobs, Mary Christine |
Publisher | UNF Digital Commons |
Source Sets | University of North Florida |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | UNF Theses and Dissertations |
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