Features a number of developments in the field, including advances in random effects models and refinements to multiple comparison procedures. This work detail how SAS-Mixed, SAS-GLM, and other packages can be used to improve experiment design and model analysis. It is intended for experiment designers and statisticians.

The Simplest Case: One-Way Treatment Structure in a Completely Randomized Design Structure with Homogeneous Errors. One-Way Treatment Structure in a Completely Randomized Design Structure with Heterogeneous Errors. Simultaneous Inference Procedures and Multiple Comparisons. Basics for Designing Experiments. Multilevel Designs: Split-Plots, Strip-Plots, Repeated Measures, and Combinations. Matrix Form of the Model. Balanced Two-Way Treatment Structures. Case Study: Complete Analyses of Balanced Two-Way Experiments. Using the Means Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers. Using the Effects Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers. Analyzing Large Balanced Two-Way Experiments Having Unequal Subclass Numbers. Case Study: Balanced Two-Way Treatment Structure with Unequal Subclass Numbers. Using the Means Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations. Using the Effects Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations. Case Study: Two-Way Treatment Structure with Missing Treatment Combinations. Analyzing Three-Way and Higher-Order Treatment Structures. Case Study: Three-Way Treatment Structure with Many Missing Treatment Combinations. Random Effects Models and Variance Components. Methods for Estimating Variance Components. Methods for Making Inferences about Variance Components. Case Study: Analysis of a Random Effects Model. Analysis of Mixed Models. Case Studies of a Mixed Model. Methods for Analyzing Split-Plot Type Designs. Methods for Analyzing Strip-Plot Type Designs. Methods for Analyzing Repeated Measures Experiments. Analysis of Repeated Measures Experiments When the Ideal Conditions Are Not Satisfied. Case Studies: Complex Examples Having Repeated Measures. Analysis of Crossover Designs. Analysis of Nested Designs. Appendix. Index.

"…Every chapter has been systematically re-written for greater clarity, and added explanatory material has been inserted throughout. Many new diagrams and redrawn diagrams have been provided; those that show how to lay out the experimental designs are just superb and extraordinarily clear. The reference list has increased … . This revision is highly recommended to those who plan and analyze experiments of the type described."—International Statistical Review (2009), 77, 2