A SIMULATION STUDY ON TESTS FOR ONE-WAY ANOVA UNDER THE UNEQUAL VARIANCE ASSUMPTION
Esra Yiğit; Fikri Gökpınar · 2010 · Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The classical F-test to compare several population means depends on the assumption of homogeneity of variance of the population and the normality. When these assumptions especially the equality of variance is dropped, the classical F-test fails to reject the null hypothesis even if the data actually provide strong evidence for it. This can be considered a serious problem in some applications, especially when the sample size is not large. To deal with this problem, a number of tests are available in the literature. In this study, the Brown-Forsythe, Weerahandiís Generalized F, Parametric Bootst
Abstract by Esra Yiğit; Fikri Gökpınar, Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics (2010) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1501/commua1_0000000660