在较弱的条件下，建立了可加分量最近邻估计和核估计的平均偏差的指数界。

Under mild conditions the exponential bounds of mean error for these estimates are established.

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在这篇文章中，我们提出了最近邻估计在任意紧集上一致强收敛速度的概念，得到了一些较好的收敛速度。

In this paper, we propose the concept of rates of strong uniform convergence of nearest neighbor density estimates on any compact set and obtain some better convergence rates.

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第一章介绍了最近邻密度估计的背景、意义、研究现状以及国内外有关最近邻密度估计的研究成果。

In chapter one, we introduced some background material and research results that have obtained of the nearest neighbor density estimator.

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第一章介绍了最近邻密度估计的背景、意义、研究现状以及国内外有关最近邻密度估计的研究成果。

In chapter one, we introduced some background material and research results that have obtained of the nearest neighbor density estimator.

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