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 …

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 …

I have enjoyed very much writing this book. This is very important from a personal point of
view, but I believe this is the key of writing something interesting for the readers. One of the …

This book is devoted to a new branch of experimental design theory called simulation
experimental design. There are many books devoted either to the theory of experimental …

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 …

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 …

Several common general purpose optimization algorithms are compared for finding A-and D-
optimal designs for different types of statistical models of varying complexity, including high …

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 …

Praise for the First Edition:" If you... want an up-to-date, definitive reference written by
authors who have contributed much to this field, then this book is an essential addition to …

Optimal design of experiments has generally concentrated on parameter estimation and, to
a much lesser degree, on model discrimination. Often an experimenter is interested in a …