The comparison of K-Statistic (KANOVA) with ANOVA F test in terms of actual type I error rate when variances heterogeneous
2002
Mendes, M. (Ankara Univ., Faculty of Forestry, Cankiri (Turkey))
In this study, K-statistic was compared with ANOVA F test in terms of realized type 1 error rate at the end of 50000 simulation trials. At the end of these comparisons-under various experimental conditions-it was observed that K-statistic is better than ANOVA F test particularly when each groups have ten or more observations. However, K-statistic was affected negatively by small observation combinations. This negative effect was more evident particularly when number of groups and heterogeneity of variance were increased
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