An introductory text examining the fundamental methods of designing experiments and analyzing the results geared to advanced undergraduates or graduates majoring in engineering, science, business, economics, and statistics. Emphasizes proper design, model diagnostic checking, and interpretation of results. Covers all major design techniques, including completely randomized design, clocking, factorials, nesting, confounding, fractional factorials, regression modelling, response surfaces, and covariance analysis. Includes a full set of statistical tables.
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!