Design and Analysis of Experiments, Volume 1: Introduction to Experimental Design, 2nd Edition

 Expanding Chapter 2 to include a more thorough discussion of the planning aspects of setting up an experiment, emphasizing the supporting roles of   and interactions between  the subject matter scientist and the statistician.

Expanding Chapter 9 to draw important distinctions between two types of blocking factors and to illustrate their roles in the process of drawing statistical inferences from the experiment.

Separating the discussion of repeated measures from the chapter dealing with split-plot designs and making it a separate chapter, explaining how repeated measures can be paired with any error-control design and how this leads formally to a split-plot type structure with correlated observations leading to a mixed model type analysis. 

Adding to most chapters numerical examples in the form of giving for a data set the SAS® input statements and commenting on the numerical output, thus linking the results from an experiment to the formal derivations and concepts provided in the earlier part of the chapter.