A Parametric Bootstrap Approach for One-Way ANOVA Under Unequal Variances with Unbalanced Data
نویسنده
چکیده
This research is to provide a solution of one-way ANOVA without using transformation when variances are heteroscedastic and group sizes are unequal. Parametric boothstrap test (Krishnamoorthy, Lu, & Mathew, 2007) 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.
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ورودعنوان ژورنال:
- Communications in Statistics - Simulation and Computation
دوره 44 شماره
صفحات -
تاریخ انتشار 2015