Improved Small Sample Inference on the Ratio of Two Coefficients of Variation of Two Independent Lognormal Distributions

IF 1 Q3 STATISTICS & PROBABILITY Journal of Probability and Statistics Pub Date : 2019-03-03 DOI:10.1155/2019/7173416
A. Wong, L. Jiang
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引用次数: 4

Abstract

Without the ability to use research tools and procedures that yield consistent measurements, researchers would be unable to draw conclusions, formulate theories, or make claims about generalizability of their results. In statistics, the coefficient of variation is commonly used as the index of reliability of measurements. Thus, comparing coefficients of variation is of special interest. Moreover, the lognormal distribution has been frequently used for modeling data from many fields such as health and medical research. In this paper, we proposed a simulated Bartlett corrected likelihood ratio approach to obtain inference concerning the ratio of two coefficients of variation for lognormal distribution. Simulation studies show that the proposed method is extremely accurate even when the sample size is small.
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两个独立对数正态分布的两个变差系数比值的改进小样本推理
如果没有能力使用能够产生一致测量结果的研究工具和程序,研究人员将无法得出结论、制定理论或声称其结果的可推广性。在统计学中,变异系数通常被用作衡量测量可靠性的指标。因此,比较变异系数具有特别的意义。此外,对数正态分布经常用于对健康和医学研究等许多领域的数据进行建模。在本文中,我们提出了一种模拟Bartlett校正的似然比方法来获得关于对数正态分布的两个变异系数之比的推断。仿真研究表明,即使样本量很小,该方法也非常准确。
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来源期刊
Journal of Probability and Statistics
Journal of Probability and Statistics STATISTICS & PROBABILITY-
自引率
0.00%
发文量
14
审稿时长
18 weeks
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