McNEIL D R, Trussell T J, Turner J C
Demography. 1977 May;14(2):245-52.
There are many problems in demography involving the smoothing or interpolation of data. Usually a solution is obtained by fitting a polynomial or a suitable model curve. Often, however, fitting a spline proves to be a simple recourse. Splines, were invented nearly 30 years ago and have been shown to have desirable properties. Although spline functions are by no means unknown to demographers, no simple and direct explanation of their application exists. We hope to remedy this deficiency with this expository piece.
人口统计学中有许多问题涉及数据的平滑或插值。通常通过拟合多项式或合适的模型曲线来获得解决方案。然而，拟合样条函数常常被证明是一种简单的方法。样条函数大约在30年前被发明出来，并已显示出具有理想的特性。尽管人口统计学家对样条函数并不陌生，但却没有对其应用的简单直接的解释。我们希望通过这篇阐述性文章来弥补这一不足。
