A completely automatic french curve: fitting spline functions by cross validation
A completely automatic french curve: fitting spline functions by cross validation
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DOI：
10.1080/03610927508827223
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发表时间：
1975
影响因子：
0.8
通讯作者：
G. Wahba;S. Wold
中科院分区：
文献类型：
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作者：
G. Wahba;S. Wold
交叉验证均方误差技术被用来确定平滑的正确程度，在将平滑单线拟合到来自未知平滑函数的离散的、有噪声的观测时。蒙特卡里奥在估计真光滑函数及其导数方面取得了惊人的成功。
The cross validation mean square error technique is used to determine the correct degree of smoothing, in fitting smoothing solines to discrete, noisy observations from some unknown smooth function. Monte Cario results snow amazing success in estimating the true smooth function as well as its derivative.