Choosing optimal truncation level on estimation of the nonparametric regression with Padé approximation
AbstractIn this paper, Padé approximation based on truncated total least squares method (P-TTLS) is defined as a nonparametric method to estimate the nonparametric regression model and to obtain an optimal estimation, determination of the truncation level is illustrated. Here, three selection method are used for choosing the truncation level which are GCV, AICc and REML respectively. To compare and interpreting the performances of the criteria, a simulation study is carried out and results are presented.