
Analysis of Messy Data
George A. Milliken, Dallas E. Johnson
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Analysis of Covariance
by George A. Milliken, Dallas E. Johnson
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Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. Analysis of Messy Data, Volume 3: Analysis of Covariance takes the unique approach of treating the analysis of covariance problem by looking at a set of regression models, one for each of the treatments or treatment combinations.
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