期刊文献+

独立样本最近邻密度估计的强相合速度 被引量:6

The Rate of Strong Consistency of Nearest Neighbor Density Estimator for Independent Samples
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摘要 设X1,X2,…,Xn是独立同分布样本,具有共同的密度函数 f(x).在f(x)满足适当的条件下给出最近邻密度估计的强相合收敛速度,其速度可达到O(n-1/3(log n)1/3)。 Suppose that X1,X2, ???,Xn are i.i.d. samles, with a common density function f(x). This paper gives that the rate of the strong consistency of nearest neighbor density estimator under some suitable conditions. This rate can get O(n-1/3(logn)1/3).
作者 杨善朝
出处 《应用概率统计》 CSCD 北大核心 2002年第4期405-408,共4页 Chinese Journal of Applied Probability and Statistics
基金 国家自然科学基金项目(10161004) 广西自然科学基金项目(0007014)
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参考文献7

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共引文献7

同被引文献33

  • 1柴根象.平稳序列最近邻密度估计的相合性[J].数学学报(中文版),1989,32(3):423-432. 被引量:28
  • 2王启华.基于截尾数据概率密度核估计的一些渐近行为(英文)[J].应用概率统计,1994,10(2):164-174. 被引量:6
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  • 7[2]Loftsgarden D O, Quesenberry C D. A nonparametric estimate of a multivariate density function[J]. Ann Statist, 1965,36:1049-1051.
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  • 10Wu Q Y. Complete convergence for negatively dependent sequences of random variables[J].Journal of Inequalities and Applications,2010.ArticleID507293.

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