Kernel estimators of probability density functions by ranked-set sampling

被引：5

作者：

Barabesi, L ^{[1
]}

Fattorini, L ^{[1
]}

机构：

[1] Univ Siena, Dipartimento Metodi Quantitativi, I-53100 Siena, Italy

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2002年 / 31卷 / 04期

关键词：

nonparametric estimation; order statistics; Monte Carlo method;

D O I：

10.1081/STA-120003136

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：

Kernel estimation of probability density functions is considered when ranked-set samples are available. The properties of the resulting estimators are derived for small and large samples, while performance with respect to the usual simple random sample estimators is investigated for a range of probability density models.

引用

页码：597 / 610

页数：14

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