Performance of Methods for Testing the Ratio of Coefficients of Variation of Two Gamma Distributions

W. Panichkitkosolkul
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Abstract

This paper presents two methods for testing the ratio of coefficients of variation of two gamma distributions. The proposed statistical tests were based on the methods of score and the Wald interval following the concept of the method of variance of estimate recovery (MOVER). To compare the performance of the proposed statistical tests, a simulation study was conducted under several shape parameter values in two gamma distributions. The performances of the statistical tests were compared based on the empirical size and the empirical power of test. The simulation results showed that the statistical test based on the method of score interval performed better than the statistical test based on the method of the Wald interval in terms of the nominal significance level attained and empirical power of the test, and is thus recommended for researchers. The performances of the proposed statistical tests also were examined through a numerical example.
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两种伽玛分布变异系数比值检验方法的性能
本文提出了两种检验两个伽玛分布变异系数比值的方法。根据估计恢复方差法(MOVER)的概念,采用评分法和Wald区间法进行统计检验。为了比较所提出的统计检验的性能,在两个伽玛分布的几个形状参数值下进行了模拟研究。根据检验的经验规模和检验的经验威力对统计检验的性能进行比较。仿真结果表明,基于分数区间法的统计检验在获得的名义显著性水平和检验的经验功效方面优于基于Wald区间法的统计检验,值得研究人员参考。通过数值算例验证了所提出的统计检验方法的性能。
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