ASYMPTOTIC TEST STATISTICS FOR COEFFICIENTS OF VARIATION

被引:85
作者
MILLER, GE [1 ]
机构
[1] TEXAS A&M UNIV SYST,DEPT STAT,COLLEGE STN,TX 77843
关键词
TAYLOR SERIES EXPANSION;
D O I
10.1080/03610929108830707
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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 normal 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 greater-than-or-equal-to 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.
引用
收藏
页码:3351 / 3363
页数:13
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