Title

Nonparametric Test of Symmetry Based on Overlapping Coefficient

Document Type

Article

Publication Date

1-2011

Publication Title

Journal of Applied Statistics

DOI

10.1080/02664761003692365

Abstract

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.