This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.
Covers design of experiments for a broad audience and is accessible for those who have little experience
Contains exercises at the end of each chapter that make it a good alternative as a course reference
Includes an in-depth presentation of 2^k and 2^(k-p) designs and their use in practice, and an introduction to Taguchi methods
Provides downloadable data sets and a solutions manual for instructors
Paul D. Berger
design of experiements factorial designs level factor hypothesis testing statistical model ANOVA multiple comparison nested designs Latin-square designs fractional-factorial designs confounding Taguchi regression response surface methodology