The ANOVA F test can still be used in some balanced designs with unequal variances and nonnormal data

By Arne C. Bathke. 2004

64 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8c891df52c3844469bf36d1c6b3888e2d9323bb8

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In Statistics and Probability

1. Yulia R. Gel
2. Weiwen Miao
3. Joseph L. Gastwirth
4. K. Moder
5. Hangcheng Liu

Citations in the corpus

• The impact of Levene’s test of equality of variances on statistical theory and practice (2009, background): “Bathke (2002, 2004) examines the effect of unequal variances in the multi-factor situation.”
• Alternatives to F-Test in One Way ANOVA in case of heterogeneity of variances (a simulation study) (2010, background): “There is some evidence, that in a two or multi-factorial design type I error rate is approximately met if the number of factor levels tends to infinity for a certain factor while the number of levels is fixed for the other factors (Akritas & S., 2000, Bathke, 2004).”