This brief yet comprehensive text covers the essentials of experimental design used by applied researchers in solving problems in the field. It is appropriate for a variety of experimental methods courses found in engineering and statistics departments. Students learn to use applied statistics for planning, running, and analyzing an experiment. The text includes 350+ problems taken from the author's actual industrial consulting experiences to give students valuable practice with real data and problem solving. The use of the computer is promoted and SAS (Statistical Analysis System) computer programs are incorporated to facilitate analysis. Coverage of the analysis of residuals, the concepts of resolution in fractional replications, the Plackett-Burman designs, and Taguchi techniques isnew to this edition.
This was a very unclear introduction for an experimental-design novice like myself, though once I bashed my head against a wall long enough to get an understanding of the basics, the later chapters were actually pretty well written and easy to follow. It just took me FOREVER to see any kind of pattern in this topic... At first experimental design just seems like a haphazard jumble of heuristics without rhyme or reason, before you can see the overall structure of the subject, and this book wasn't as helpful as it should have been in getting me there. The book also had lots of good examples, but many were not followed through all the way. And there was no mathematical justification for some of the key concepts.