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A New Method for the Model Selection in B-Spline Surface Approximation with an Influence Function
Science Journal of Applied Mathematics and Statistics
In model selection, the most effective method requires much time.The analysis of the bivariate B-spline model with a penalized term has many difficulties.It has many factors and parameters such the number of the knots, the locations of those knots, number of B-spline functions and the value of the smoothing parameter of the penalized term.For the determination of the model we have to compare a large amount of the combinations of those parameters. Various information criteria are considered anddoi:10.11648/j.sjams.20130105.11 fatcat:fzfvlrbnpjechfbqghcujzggje