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An Improvement of the Nonparametric Bootstrap Test for the Comparison of the Coefficient of Variations
Authors:Saeid Amiri  Silvelyn Zwanzig
Institution:1. Department of Mathematics , Uppsala University , Uppsala, Sweden saeid@math.uu.se;3. Department of Mathematics , Uppsala University , Uppsala, Sweden
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
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