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Type I Error Rates for Multiple Comparison Procedures with Dependent Data
Authors:Robert Pavur
Affiliation:Department of Business Computer Information Systems, Box 13677 , University of North Texas , Denton , Texas , 76203 , USA
Abstract:One of the standard assumptions in analysis of variance is independence of observations. This article determines the effect of dependence of observations on several multiple comparison procedures. The correlation structure that is considered is one in which observations within groups have a certain correlation, say ρ1, and observations in different groups have another correlation, say ρ2.
Keywords:Comparisonwise error rate  Experiment-wise error rate
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