A new generalized p-value and its upper bound for ANOVA under unequal error variances

被引:8
|
作者
Xu, Liwen [1 ]
Wang, Songgui [2 ]
机构
[1] Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China
[2] Beijing Univ Technol, Coll Appl Sci, Beijing, Peoples R China
关键词
Behrens-Fisher problem; generalized p-values; generalized test variable;
D O I
10.1080/03610920701713252
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
For the problem of comparing the means of k populations with unequal population variances, a new procedure is developed for testing the equality of the means based on the concept of generalized p-values. A new generalized test variable is defined and we provide the upper bounds for the generalized p-value and the data-based power function based on this generalized variable, respectively.
引用
收藏
页码:1002 / 1010
页数:9
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