Year
1992
Paper Type
Master's Thesis
College
College of Arts and Sciences
Degree Name
Master of Science in Mathematical Sciences (MS)
Department
Mathematics & Statistics
First Advisor
Dr. William Wilson
Second Advisor
Dr. Ping Sa
Abstract
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.
Suggested Citation
Jacobs, Mary Christine, "Regression Trees Versus Stepwise Regression" (1992). UNF Graduate Theses and Dissertations. 145.
https://digitalcommons.unf.edu/etd/145