Mathematical Problems in Engineering / 2010 / Article / Tab 2

Research Article

Parametric and Nonparametric Empirical Regression Models: Case Study of Copper Bromide Laser Generation

Table 2

Results from constructed parametric and nonparametric regression models for estimation of output laser power Pout: MLR (Multiple Linear Regression) and MARS (Multivariate Adaptive Regression Splines).

ModelR2R2 adj.MARS GCV R2Std. Err. of the EstimateNumber of predictors

MLR 0th order, no interactions0.9460.9447.925403
MLR 1st order interactions0.9500.9487.633824
MLR 2nd order interactions0.9670.9656.270757
MARS 0th order, no interactions0.9650.9630.9526.504703
MARS 1st order interactions 0.9730.9700.951 5.82838 5
MARS 2nd order interactions 0.9720.970 0.9535.89545 6

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