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
Link To Document :
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