Customer Reviews

Statistical Design and Analysis of Experiments, with Applications to Engineering and Science

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Mason, Gunst and Hess have done a great deal of consulting in industry which has provided them with an understanding of the design and analysis of linear and nonlinear models. In fact, I have had some direct experience with Bob Mason from Southwest Research Institute. When I was working at a medical device company owned by St. Jude Medical Inc., Southwest Research Institute had been contracted to analyze data from one of our animal experiments for defibrillation thresholds. As the new statistician in the company I needed to get acquainted with their work. The book illustrates many designs using real world problems. The first 5 chapters (88 pages) cover elementary statistical concepts and methods. The next 6 chapters (145 pages) cover designs. Most standard designs are covered including full factorials, balanced incomplete blocks, latin squares, fractional factorials and nested and crossover designs. There is also a chapter on response surface designs including rotatable designs, central composite designs and Box-Behnken designs. The rest of the book, some 368 pages, deals with statistical analysis of data from designed experiments. It makes a very good reference source.
The only disadvantage of it is that there have been many advances in the design of experiments since 1989 when the book was published. The topic of robust parameter design is not covered because much of the development occurred after 1989. Hints of the topic and mention of the Taguchi approach appear only on pages 108-110. To learn much more about the recent developments in the design of experiments see Hamada and Wu (2000) "Experiments". My review of Hamada and Wu can be found on Amazon.

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