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 …

In all the experimental sciences, good design of experiments is crucial to the success of
research. Well-planned experiments can provide a great deal of information efficiently and …

In the 27 years since the initial publication of this book, much has changed in both
application and theory of the design of experiments. The prime catalysts have been the …

To maximize the chance for success in an experiment, good experimental design is needed.
However, the presence of unique constraints may prevent mapping the experimental …

After a short historical introduction, the properties and numerical methods are the focal point
of discussion. Construction of discrete and adaptive designs demand more extended …

Optimum experimental designs were originally developed by Kiefer, mainly for response
surface models. This survey of recent developments emphasizes potential or actual …

This paper presents the algorithm “DETMAX” whose purpose is to construct experimental
designs that are “D-optimal.” These are designs for which the determinant of X′ X is …

The title is misleading. The book is part of a series called The Scientists' Library: Biology and
Medicine and deals only with experimental design in those fields. According to the editor of …

In mixture experiments, the factors under study are proportions of the ingredients of a
mixture. The special nature of the factors necessitates specific types of regression models …

Though laymen may scoff at the notion, we professionals know that statistics texts can be
very good reads. Careful elucidation of complex principles, well-chosen examples revealing …