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基于惩罚回归样条的函数导数拟合
引用本文:关海洋,唐燕武,杨联强. 基于惩罚回归样条的函数导数拟合[J]. 安庆师范学院学报(自然科学版), 2015, 0(1): 13-15,22. DOI: 10.13757/j.cnki.cn34-1150/n.2015.01.004
作者姓名:关海洋  唐燕武  杨联强
作者单位:1. 安徽大学 数学科学学院,安徽 合肥,230601;2. 安庆师范学院 数学与计算科学学院,安徽 安庆,246133
基金项目:国家自然科学基金,安徽省高校教学研究项目(2012JYXM094)。
摘    要:在函数形式未知,而已知该函数的带误差的离散数据点情况下,运用基于p次截断幂基的惩罚回归样条拟合数据点,并在拟合出的曲线基础上求出函数的一阶导数。该方法将经典最小二乘法和惩罚样条方法进行结合,既考虑了拟合优度,又兼顾拟合曲线的光滑性,模拟和实际应用的例子显示此种方法效果较理想。

关 键 词:数据拟合  回归  惩罚样条  导数

Fitting Derivative Function Based on Penalized Regression Spline
GUAN Hai-yang,TANG Yan-wu,YANG Lian-qiang. Fitting Derivative Function Based on Penalized Regression Spline[J]. Journal of Anqing Teachers College(Natural Science Edition), 2015, 0(1): 13-15,22. DOI: 10.13757/j.cnki.cn34-1150/n.2015.01.004
Authors:GUAN Hai-yang  TANG Yan-wu  YANG Lian-qiang
Affiliation:GUAN Hai-yang;TANG Yan-wu;YANG Lian-qiang;School of Mathematics and Computation Science,Anhui University;School of Mathematics and Computation Science,Anqing Teachers College;
Abstract:When the function is not identified but its discrete data points are given , fitting function based on penalized spline with pth-degree truncated power basis is constructed, and the first derivative of function is given.The method combines classical ordinary least squares and penalized spline smoothing , both the goodness and the smoothness of fitting curve are considered , simu-lations and application show its good efficiency .
Keywords:data fitting  regression  penalized spline  derivative
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