Estimation of Biresponse Semiparametric Regression Model with Weighted Spline Truncated

Semiparametric regression is a combination of parametric regression and nonparametric regression. Because there is a relationship between predictor variables and response variables that are known patterns and unknown patterns. The purpose of this research is to get the best model of biresponse data. The parametric regression approach uses linear regression, while the nonparametric regression approach uses weighted spline truncated. Determination of the best parametric regression model is based on the largest deterministic coefficient, while the determination of the nonparametric regression model is based on the CGV criterion to get the best model.