An ideal textbook for upper undergraduate and graduate level courses in statistics engineering and chemical physical sciences response surface methodology process and product optimization using designed experiments fourth edition is also a useful reference for applied statisticians and engineers in disciplines such as quality process and chemistry. 66 multiple response optimization 67 further comments concerning response surface analysis exercises 7 experimental designs for fitting response surfaces i 71 desirable properties of response surface designs 72 operability region region of interest and model inadequacy 73 design of experiments for first order models. The scaled prediction variance is especially important where models are used for process optimization such as in response surface methodology myers et al it used when comparing designs and as. 1996 response surface methodology process and product optimization using designed experiments technometrics vol 38 no 3 pp 284 286. Response surface methodology process and product optimization using designed experiments 4th edition willis a jensen wl gore associates inc p o box 2400 flagstaff az 86005 pages 186 188