Anthony Atkinson

Alexander Donev

Randall Tobias

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.

Optimum Experimental Designs, With SAS

Experiments in the field and in the laboratory cannot avoid random error and statistical methods are essential for their efficient design and analysis. Authored by leading experts in key fields, this text provides many examples of SAS code, results, plots and tables, along with a fully supported website.

Mathew Clayton

Discover the little worlds of Britain Beyond the British shores and straight out to sea lie the most exquisite islands, just waiting to be discovered. Little worlds, unique in their rugged and breath-taking geography, legends and folklore, scattered with ruins, wildlife and clues to their fascinating past, many remain untouched by the modern world. Take a journey, take a leap, and discover lands you never knew. Explore Lundy, the perfect refuge for pirates and a cast of other ne’er-do-wells; St Kilda, the tiny island that was inhabited for over 2000 years but now lies abandoned; or Hy Brasil, a mirage that was featured on maps for centuries but never even existed. In Lundy, Rockall, Dogger, Fair Isle, words and art are brought together to create a uniquely beautiful treasure - an illustrated celebration of the islands around Britain and their rare magic.

A Celebration of the Islands Around Britain

Lundy, Rockall, Dogger, Fair Isle

Marco Riani

Graphs are used to understand the relationship between a regression model and the data to which it is fitted. The authors develop new, highly informative graphs for the analysis of regression data and for the detection of model inadequacies. As well as illustrating new procedures, the authors develop the theory of the models used, particularly for generalized linear models. The book provides statisticians and scientists with a new set of tools for data analysis. Software to produce the plots is available on the authors website.

Anthony Atkinson

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