Statistical Models of Characteristics of Metal Vapor Lasers

In this book, various multivariate statistical techniques are applied in order to assess and predict the experiment. There are developed multiple linear and quasilinear regression and other parametric and nonparametric models for modeling laser efficiency and output power. The best models are obtained using nonparametric method of multivariate adaptive regression splines which can account for the local changes in the behavior of the investigated quantities and possess powerful predictive capabilities. The obtained results can be considered a first attempt and foundation for the statistical processing of the accumulated experimental data for guiding future experiment in the field of lasers.