An Improvement of the Nonparametric Bootstrap Test for the Comparison of the Coefficient of Variations

Abstract

In this article, we propose a new test for examining the equality of the coefficient of variation between two different populations. The proposed test is based on the nonparametric bootstrap method. It appears to yield several appreciable advantages over the current tests. The quick and easy implementation of the test can be considered as advantages of the proposed test. The test is examined by the Monte Carlo simulations, and also evaluated using various numerical studies.

Keywords:

• Bootstrap method
• Coefficient of variation
• Monte Carlo simulation

Mathematics Subject Classification:

• 62F40

Acknowledgments

The authors would like to thank the Editor and referees for their constructive comments. The authors would like to express their sincere appreciation to S. Cabras (Cagliari University) for correcting the commands of BI test. The authors are grateful to H. Hassani (Cardiff University) for useful suggestions.