Completely revised and expanded, this Third Edition maintains a balance between design and analysis topics, but includes new material and numerous updated examples. Added, expanded and reorganized chapters provide more in-depth treatment of 2 k factorial and fractional factorial designs; brand new topical coverage of factorial and fractional factorial design; a discussion of the Taguchi approach to parameter design, along with a critique of this method and recommended alternatives; additional topics on the selection of a response surface design; and an introduction to the mixture problem. Throughout, it stresses the importance of experimental design (as a tool for the practicing engineer) to product design and development, process development and improvement and process troubleshooting.
This is a very straight-forward textbook with the help of an instructor's guidance. The very beginning, aka Chapters 1 and 2, are review from the very basics of statistics. It is after these that you do encounter different "types" of equations and ways to create models when it comes to actual real-life situations. In this case, these are dealing with small situations. You can compute these by hand, if you want, but when it comes to that of larger samples sizes, that's when you want to take the advice of using technology.
Again, a different kind of statistics, but very direct.
I think that this text is one of the best to approach design of experiment topic. Every chapter is described quantitatively, with a lot of real examples. The weak part of the text, is represented by regression chapter, described in a too BOS way, with few quantitative demostrations.
This book is very detailed and very readable. Great coverage of Design of Experiments and all things related. Accompanied the graduate course I took with the author very well!