The book "Optimum Experimental Designs, With SAS" by Anthony Atkinson, Alexander Donev, and Randall Tobias is a comprehensive guide to designing and analyzing experiments using optimal methods, with a focus on practical implementation through SAS programs. The book is part of the Oxford Statistical Science series, number 34, and was published on May 24, 2007. It is 528 pages long and includes numerous line figures. The content covers a wide range of topics, from the basics of model fitting and simple optimal designs to advanced topics such as Bayesian optimum designs and generalized linear models. The book is designed for students and researchers in statistics, as well as experimentalists in pharmaceutical and chemical industries. It emphasizes the importance of models in data analysis and provides hands-on solutions using SAS, making it a valuable resource for both academic and industrial settings.The book "Optimum Experimental Designs, With SAS" by Anthony Atkinson, Alexander Donev, and Randall Tobias is a comprehensive guide to designing and analyzing experiments using optimal methods, with a focus on practical implementation through SAS programs. The book is part of the Oxford Statistical Science series, number 34, and was published on May 24, 2007. It is 528 pages long and includes numerous line figures. The content covers a wide range of topics, from the basics of model fitting and simple optimal designs to advanced topics such as Bayesian optimum designs and generalized linear models. The book is designed for students and researchers in statistics, as well as experimentalists in pharmaceutical and chemical industries. It emphasizes the importance of models in data analysis and provides hands-on solutions using SAS, making it a valuable resource for both academic and industrial settings.