A nonparametric test of symmetry based on the overlapping coefficient

被引：8

作者：

Samawi, Hani M. ^{[1
]}

Helu, Amal ^{[2
]}

Vogel, Robert ^{[1
]}

机构：

[1] Georgia So Univ, Jiann Ping Hsu Coll Publ Hlth, Statesboro, GA 30460 USA

[2] Univ Jordan, Dept Math, Amman, Jordan

来源：

JOURNAL OF APPLIED STATISTICS | 2011年 / 38卷 / 05期

关键词：

test of symmetry; power of the test; bootstrap method; Matusita's measure; Morisita's measure; overlap coefficients; Weitzman's measure; kernel density estimation; DENSITY-ESTIMATION; RUNS TEST; TRANSFORMATIONS; ESTIMATORS; DEFICIT; BIAS;

D O I：

10.1080/02664761003692365

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 introduce a new nonparametric test of symmetry based on the empirical overlap coefficient using kernel density estimation. Our investigation reveals that the new test is more powerful than the runs test of symmetry proposed by McWilliams [31]. Intensive simulation is conducted to examine the power of the proposed test. Data from a level I Trauma center are used to illustrate the procedures developed in this paper.

引用

页码：885 / 898

页数：14

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