ABSTRACT

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

chapter 1|10 pages

Introduction to the Analysis of Covariance

chapter 6|12 pages

Beta-Hat Models

chapter 8|14 pages

Comparing Models for Several Treatments

chapter 12|38 pages

Random Effects Models with Covariates

chapter 13|28 pages

Mixed Models