Objective To improve on classical least squares estimate of regression analysis and explore nonparametric smoothing spline regression analysis.

This paper discusses childhood growth curve fitting by nonparametric models, and provides two methods for nonparametric curve fitting: smoothing spline and kernel estimator.

The paper introduces an algorithm for creating smooth spline surfaces over control triangular meshes capable of outlining arbitrary free-form surfaces with or without boundary.