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Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technological fields. This approach provides realistic settings for conducting actual research projects. Next, he emphasizes the importance of developing a treatment design based on a research hypothesis as an initial step, then developing an experimental or observational study design that facilitates efficient data collection. In addition to a consistent focus on research design, Kuehl offers an interpretation for each analysis.
Research designing principles; Getting started with completely randomized designs; Treatment comparisons; Diagnosing agreement between the data and the model; Experiments to study variances; Factorial treatment designs; Factorial treatment designs: random and mixed models; Complete block designs; Incomplete block designs: an introduction; Incomplete block designs: recovery of interblock information and resolvable designs; Incomplete block designs: factorial treatment designs; Fractional factorial designs; Response surface designs; Split-plot designs; Repeated measures designs; Crossover designs; Analysis of covariance.
I find the book well written, and useful in both a teaching context as well as a consulting one. I find his narrative style in the text, and development of mathematical structures in an appendix at the end of each chapter desirable from a teaching standpoint. The narrative text sets the stage for the mathematical treatment...Kuehl has put the right emphasis on the use of a computer.