摘要
核密度估计是一种具有广泛应用领域的非参数统计方法.有关它独立情况下的大样本性质,在文献[1]中已详细介绍,本文在改进Parzen给出的一个基本引理的基础上得出非参数核密度估计的Lr收敛.
Kernel density estimation is a nonparametric method which can be widely used in many fields. It＇s large sample character for independent sample is introduced in [ 1 ]. On the basis of improving a lemma brought up by Parzen. This paper aims to give the convergence in norm of the kernel density estimate.
出处
《佳木斯大学学报（自然科学版）》
CAS
2006年第4期581-582,共2页
Journal of Jiamusi University：Natural Science Edition
关键词
核密度估计
L^τ收敛
非参数统计
kernel density estimation
convergence norm
nonparametric statistic
