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 …

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 …

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 …

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 …

We discuss the problem of optimal allocation of the design points of an experiment for the
case where the trials may fail with non-zero probability. Numerical results for D-optimal …

In recent years, there has been an increasing emphasis in the design of experiments
literature on optimal design. Many authors have recommended that optimal design of …

Optimal Experimental Design with R introduces experimenters to the philosophy of
experimentation, and the need for good design and data collection for experiments. It gives …

This is an attempt to discuss various approaches developed in experimental design when
constraints are imposed. These constraints may be on the total cost of the experiment, the …

A key mathematical benefit of this approach is that the set of all M (t), the moment space, is
closed and convex. In addition, many of the optimality criteria which had been introduced in …