"An innovative discussion of building empirical models and the fitting of surfaces to data. Introduces the general philosophy of response surface methodology, and details least squares for response surface work, factorial designs at two levels, fitting second-order models, adequacy of estimation and the use of transformation, occurrence and elucidation of ridge systems, and more. Some results are presented for the first time. Includes real-life exercises, nearly all with solutions."

“A man in daily muddy contact with field experiments could not be expected to have much faith in any direct assumption of independently distributed normal errors.”

“One important idea is that science is a means whereby learning is achieved, not by mere theoretical speculation on the one hand, nor by the undirected accumulation of practical facts on the other, but rather by a motivated iteration between theory and practice.”

“George Box is, in the field of the quality sciences, the consummate ‘Renaissance man’ who has made significant and enduring contributions to the profession of quality control and the allied arts and sciences... contributions encompass considerable scope and have already had lasting effect.”

“The penalty for scientific irrelevance is, of course, that the statistician's work is ignored by the scientific community.”

“The researcher hoping to break new ground in the theory of experimental design should involve himself in the design of actual experiments. The investigator who hopes to revolutionize decision theory should observe and take part in the making of important decisions.”

“Since all models are wrong the scientist cannot obtain a "correct" one by excessive elaboration. On the contrary following William of Occam he should seek an economical description of natural phenomena. Just as the ability to devise simple but evocative models is the signature of the great scientist so overelaboration and overparameterization is often the mark of mediocrity.”