ABSTRACT

In order to interpret experimental measurements, and choose between possible alternative models, it is necessary to make comparisons. These comparisons are usually between the estimated or predicted responses of just two treatments. Frequently, however, these two estimates are from a much larger experiment which provides an opportunity to make more elaborate and general comparisons, sometimes known as contrasts. The following example illustrates the idea.