This paper discusses childhood growth curve fitting by nonparametric models, and provides two methods for nonparametric curve fitting: smoothing spline and kernel estimator.
本文讨论了用非参数模型对儿童生长曲线进行拟合，给出了两种非参数曲线拟合方法：光滑样条和核估计。
The result also reveals that B-spline model performs better than other models integralively in precision of fitting prices, curve smoothness and stability.
样条法在利率期限结构的拟合精度、曲线光滑性及平稳性方面的综合效果最好。
The approaches to the treatment of two kinds of distortion points often encountered in spline curve fitting are investigated in this paper.
本文研究了样条曲线拟合中常遇到的两种畸变点的处理方法。
应用推荐