A Nonparametric Test of Symmetry Based on the Overlapping Coefficient

Presenters/Authors

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

Document Type

Presentation

Presentation Date

3-2010

Abstract or Description

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 (1990). 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.

Sponsorship/Conference/Institution

Eastern North American Region International Biometric Society Annual Conference (ENAR)

Location

New Orleans, LA

Recommended Citation

Samawi, Hani M., Robert L. Vogel, Amal Helu. 2010. "A Nonparametric Test of Symmetry Based on the Overlapping Coefficient." Biostatistics Faculty Presentations. Presentation 32.
https://digitalcommons.georgiasouthern.edu/biostat-facpres/32