This monograph is designed to help researchers understand the theory of the design of experiments, so they can easily adapt general principles to their specialty. It seeks to bring the theory to non-statisticians at a reasonable mathematical level so that they can apply and adapt the designs. The authors use self-contained chapters, illustrated applications, and examples to teach the ideas and concepts needed for sound experiment design, and consequently, analysis. The volume includes extensive bibliographic notes and a detailed account of S-Plus.
This monograph is designed to help researchers understand the theory of the design of experiments, so they can easily adapt general principles to thei...