Nonparametric Test of Symmetry Based on Overlapping CoefficientJournal of Applied Statistics
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 . 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.
Citation InformationHani M. Samawi, Amal Helu and Robert L. Vogel. "Nonparametric Test of Symmetry Based on Overlapping Coefficient" Journal of Applied Statistics Vol. 38 Iss. 5 (2011) p. 885 - 898
Available at: http://works.bepress.com/robert_vogel/183/