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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1837

Title: Application of MARS for the Construction of Nonparametric Models
Authors: Gocheva-Ilieva, Snezhana
Keywords: Multivariate Regression
Nonparametric Model
Ultraviolet Laser
Issue Date: 2010
Publisher: Union of Bulgarian Mathematicians
Citation: Union of Bulgarian Mathematicians, Vol. 39, No 1, (2010), 28p-38p
Abstract: This paper presents the main features of the relatively new statistical technique called Multivariate Adaptive Regression Splines (MARS) and the corresponding software product. The MARS method is designed for statistical analysis of data, when standard parametric modeling by multiple regression or logistic regression methods is not applicable. A case study from the area of laser technology, especially for modeling of UV Cu+ Ne-CuBr laser is performed. The obtained results are in a good agreement with practical issues. It is shown that the constructed nonparametric MARS models can be applied in estimation and prediction of current and future experiments in order to improve the output laser power.
Description: 2000 Mathematics Subject Classification: 62G08, 62P30.
URI: http://hdl.handle.net/10525/1837
ISBN: 1313-3330
Appears in Collections:Union of Bulgarian Mathematicians 2010

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