Asymptotic test statistics for coefficients of variation |
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Authors: | G. Edward Miller |
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Affiliation: | 1. Department of Statistics , Texas A&2. M University , College Station, Texas, 77843-3143 |
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Abstract: | A one-sample asymptotically normal test statistic Is derived for testing the hypothesis that the coefficient of variation of a normal population is equal to a specified value. Based on this derivation, an asymptotically noraml two-sample test statistic and an asymptotically chi-square k-sample test statistic are derived for testing the hypothesis that the coefficients of variation of k ≥2 normal populations are equal. The two and k-sample test statistics allow for unequal sample sizes. Results of a simulation study which evaluate the size and power of the test statistics and compare the test statistics to earlier ones developed by McKay (1932) and Bennett (1976) are presented. |
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Keywords: | Taylor series expansion |
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