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Activity Number: 424
Type: Contributed
Date/Time: Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #304320
Title: Determining the Coordinates of an Experimental Data Set Based on Multivariate Adaptive Regression Splines
Author(s): Betul Kan*+ and Berna Yazici
Companies: Anadolu University and Anadolu University
Address: , , 26470,
Keywords: Response Surface Methodology ; Central Composite Design ; Multivariate Adaptive Regression Splines ; Canonical Analysis
Abstract:

Describing an empirical model with a response surface methodology needs some statistical and graphical techniques. Alternatively and widely used a second-order response model introduced by Box and Wilson (1951) is the class of central composite designs. Many applications of a response surface methodology involve describing the nature of the stationary point of a second-order response surface. In this study, identifying and fitting a second-order response model by a central composite design and a suitable recent statistical method for handling the relationships of the independent variables on the dependent variable, so-called MARS based on Friedman algorithms (1991) will be introduced. Finally, canonical analysis is used to determine the coordinates of the optimum points in response surface methodology.

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