The kernel estimate of nonparametric regression function has been researched recently.

非参数回归函数的核估计近年来已有了一些研究。

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This paper introduced the selection principle and method about a reasonable kernel function and bandwidth based on the nonparametric kernel density estimation and kernel regression estimation.

本文基于非参数核密度估计与核回归估计的基础上，介绍了合理选取核函数及窗宽的原则和方法。

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And the nonparametric models is based on data, the form of its regression function is discretionary, so it has a great adaptability.

而非参数回归模型是基于数据本身，其回归函数的形式可以任意，因而有较大适应性。

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And the nonparametric models is based on data, the form of its regression function is discretionary, so it has a great adaptability.

而非参数回归模型是基于数据本身，其回归函数的形式可以任意，因而有较大适应性。

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