Tests of Location Equality Under Non-Identical Distributions
Journal Title: İzmir İktisat Dergisi - Year 2017, Vol 32, Issue 2
Abstract
The ANOVA-F test is the most known procedure for comparing at least three population means. However, this conventional test might give misleading results when it’s underlying assumptions are violated. In this study, Welch’s test with trimmed mean, Welch’s test with trimmed mean and a bootstrap-t, newly proposed test and ANOVA-F test were compared in terms of actual Type I error rates under not only non-normality and heteroscedasticity, but also with non-identical distribution shapes. The newly proposed method outperformed ANOVA-F and other alternatives under various situations.
Authors and Affiliations
İrem YILMAZ, A. Fırat ÖZDEMİR, Gözde NAVRUZ
Keywords
Related Articles
- EP ID EP257201
- DOI 10.24988/deuiibf.2017322531
- Views 120
- Downloads 0
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