Kernel density estimation using weighted data

被引：29

作者：

Guillamon, A ^{[1
]}

Navarro, J ^{[1
]}

Ruiz, JM ^{[1
]}

机构：

[1] Univ Murcia, Dept Matemat Aplicada & Estadist, E-30100 Murcia, Spain

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1998年 / 27卷 / 09期

关键词：

least-square cross-validation; weighted distribution;

D O I：

10.1080/03610929808832217

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：

In this paper we compare the kernel density estimators proposed by Bhattacharyya et al. (1988) and Jones (1991) for length biased data, showing the asymptotic normality of the estimators. A method to construct a new estimator is proposed. Moreover, we extend these results to weighted data and we study an estimator for the weight function.

引用

页码：2123 / 2135

页数：13

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