A Note on Asymptotic Behavior of the Nonparametric Density Estimators in Multivariate Mixtures

被引：0

作者：

Pakyari, Reza ^{[1
]}

机构：

[1] Arak Univ, Dept Math, Arak 38156, Iran

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2009年 / 38卷 / 08期

关键词：

Asymptotic bahaviour; Bandwidth; Independent marginals; Kernel methods; Nonparametric density estimation; INFERENCE;

D O I：

10.1080/03610920802384284

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The asymptotic behavior of the nonparametric density estimator has been given for a multivariate mixture model. It has been observed that the estimator is asymptotically normally distributed with bias of size h2 and variance of size (nh)-1.

引用

页码：1219 / 1223

页数：5

共 7 条

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