Abstract Details
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Activity Number:
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85
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Type:
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Contributed
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Date/Time:
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Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
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Sponsor:
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International Chinese Statistical Association
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| Abstract - #308209 |
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Title:
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A Parametric Bootstrap Approach for Two-way ANOVA under Unequal Variances with Unbalanced Data
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Author(s):
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Guoyi Zhang*+
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Companies:
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University of New Mexico
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Keywords:
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ANOVA ;
Parametric bootstrap ;
Multiple comparison ;
Simulations ;
Unequal variance
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Abstract:
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This research is to provide a solution of two-way ANOVA without using transformation when variances are heteroscedastic and group sizes are unequal. Parametric bootstrap tests for main effects and interaction terms have been shown to be competitive with some other methods. We extend the parametric bootstrap algorithm to multiple comparison procedures. Simulation results show that the parametric bootstrap approach works well for two-way ANOVA.
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Authors who are presenting talks have a * after their name.
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