A parametric bootstrap approach for one-way ANOVA under unequal variances with unbalanced data. (English) Zbl 1325.62146
Summary: This research is to provide a solution of one-way ANOVA without using transformation when variances are heteroscedastic and group sizes are unequal. Parametric bootstrap test [K. Krishnamoorthy et al., Comput. Stat. Data Anal. 51, No. 12, 5731–5742 (2007; Zbl 1445.62187)] has been shown to be competitive with many other methods when testing the equality of group means. We extend the parametric bootstrap algorithm to a multiple comparison procedure. Simulation results show that the parametric bootstrap approach works well for one-way ANOVA.
MSC:
| 62J15 | Paired and multiple comparisons; multiple testing |
| 62F40 | Bootstrap, jackknife and other resampling methods |
| 62J10 | Analysis of variance and covariance (ANOVA) |
Citations:
Zbl 1445.62187References:
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