文章基本信息

标题：Testing the Population Coefficient of Variation
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作者：Banik, Shipra ; Kibria, B. M. Golam ; Sharma, Dinesh 等
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2012
卷号：11
期号：2
页码：5
出版社：Wayne State University
摘要：The coefficient of variation (CV), which is used in many scientific areas, measures the variability of a population relative to its mean and standard deviation. Several methods exist for testing the population CV. This article compares a proposed bootstrap method to existing methods. A simulation study was conducted under both symmetric and skewed distributions to compare the performance of test statistics with respect to empirical size and power. Results indicate that some of the proposed methods are useful and can be recommended to practitioners.
关键词：Coefficient of variation; simulation; size; power of a test; symmetric distribution; skewed distribution