Table of Contents

Part I. Fundamentals; Introduction; Some key ideas; Experimental strategies; The choice of a model; Models and least squares; Criteria for a good experiment; Standard designs; The analysis of experiments; Part II. Theory and applications; Optimum design theory; Criteria of optimality; Experiments with both qualitative and quantitative factors; Blocking response surface designs; Restricted region designs; Failure of the experiment and design augmentation;
Non-linear models; Optimum Bayesian design; Discrimination between models; Composite design criteria; Further topics.

Reviews

`The book is well laid out and is as beautifully produced as we have come to expect from the Oxford Statistical Science Series ... statisticians experienced in the design of experiments will undoubtedly find this book a thought-provoking reminder always to consider the objectives when designing experiments.'
Times Higher Education Supplement
`...a condensed but authoritative statistical overview of the practice and theory of modelling, designing and analysing systematic experiments ... The techniques, many of which were developed by the authors, are clearly described and demonstrated in examples which are mainly of an industrial type.'
P.J. Laycock, University of Manchester, Short Book Reviews (Publication of the International Statistical Institute)