You are here: MIMS > EPrints
MIMS EPrints

2007.207: Optimum Experimental Designs, With SAS

2007.207: Anthony Atkinson, Alexander Donev and Randall Tobias (2007) Optimum Experimental Designs, With SAS. Oxford statistical Science. Oxford University Press, Oxford. ISBN 13: 978-0-19-929659-0

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
85 Kb

Official URL: http://www.oup.com/uk/catalogue/?ci=9780199296590

Abstract

Experiments on patients, processes or plants all have random error, making statistical methods essential for their efficient design and analysis. This book presents the theory and methods of optimum experimental design, making them available through the use of SAS programs. Little previous statistical knowledge is assumed. The first part of the book stresses the importance of models in the analysis of data and introduces least squares fitting and simple optimum experimental designs. The second part presents a more detailed discussion of the general theory and of a wide variety of experiments. The book stresses the use of SAS to provide hands-on solutions for the construction of designs in both standard and non-standard situations. The mathematical theory of the designs is developed in parallel with their construction in SAS, so providing motivation for the development of the subject. Many chapters cover self-contained topics drawn from science, engineering and pharmaceutical investigations, such as response surface designs, blocking of experiments, designs for mixture experiments and for nonlinear and generalized linear models. Understanding is aided by the provision of "SAS tasks" after most chapters as well as by more traditional exercises and a fully supported website. The authors are leading experts in key fields and this book is ideal for statisticians and scientists in academia, research and the process and pharmaceutical industries.

Item Type:Book
Subjects:MSC 2000 > 62 Statistics
MIMS number:2007.207
Deposited By:Mrs Louise Healey
Deposited On:22 November 2007

Download Statistics: last 4 weeks
Repository Staff Only: edit this item