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 RegressionNonparametric ModelUltraviolet 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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