2000 Mathematics Subject Classification: 62G08, 62P30.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.This paper is partially supported by projects VU-MI-205, NSF of the Bulgarian Ministry of Education, Youth and Science and RS09–FMI–013, ISM-4 of NPD, Plovdiv University “Paisii Hilendarski”
