Nonparametric Test of Symmetry Based on Overlapping Coefficient

Authors

Hani M. Samawi, Georgia Southern UniversityFollow
Amal Helu, University of JordanFollow
Robert L. Vogel, Georgia Southern UniversityFollow

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.

Recommended Citation

Samawi, Hani M., Amal Helu, Robert L. Vogel. 2011. "Nonparametric Test of Symmetry Based on Overlapping Coefficient." Journal of Applied Statistics, 38 (5): 885-898. doi: 10.1080/02664761003692365
https://digitalcommons.georgiasouthern.edu/biostat-facpubs/62