Title of article
A nonparametric test of symmetry based on the overlapping coefficient
Author/Authors
Hani M. Samawi، نويسنده , , Amal Helu&Robert Vogel، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
14
From page
885
To page
898
Abstract
In this paper,we introduce a newnonparametric 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.
Keywords
Weitzman’s measure , test of symmetry , Power of the test , Matusita’s measure , Morisita’smeasure , overlap coefficients , Bootstrap method , Kernel density estimation
Journal title
JOURNAL OF APPLIED STATISTICS
Serial Year
2011
Journal title
JOURNAL OF APPLIED STATISTICS
Record number
712574
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