Journal
BIOMETRICAL JOURNAL
Volume 56, Issue 6, Pages 1016-1034Publisher
WILEY-BLACKWELL
DOI: 10.1002/bimj.201300182
Keywords
ANOVA; Homogeneity test; Meta-analysis; Nonequivalence
Ask authors/readers for more resources
In this paper, we consider the problem of testing nonequivalence of several independent normal population means. It is a well-known problem to test the equality of several means using the analysis of variance (ANOVA). Instead of determining the equality, one may consider more flexible homogeneity, which allows a predetermined level of difference. This problem is known as testing nonequivalence of populations. We propose the plug-in statistics for two different measures of variability: the sum of the absolute deviations and the maximum of the absolute deviations. For each test, the least favorable configuration (LFC) to ensure the maximum rejection probability under the null hypothesis is investigated. Furthermore, we demonstrate the numerical studies based on both simulation and real data to evaluate the plug-in tests and compare these with the range test.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available