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 …

Instructs readers on how to use methods of statistics and experimental design with R
software Applied statistics covers both the theory and the application of modern statistical …

We review major developments in the design of experiments, offer our thoughts on important
directions for the future, and make specific recommendations for experimenters and …

This book serves well as an introduction to the specifi c area of methods for detecting and
correcting model violations in the standard linear regression model. In the preface of 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 …

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 …

Most texts on experimental design fall into one of two distinct categories. There are
theoretical works with few applications and minimal discussion on design, and there are …

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 …

… dans ce meilleur des [modèles] possibles ߪ tout est au mieux. Candide (1759), Chapitre I,
VOLTAIRE The working title of the book was a bit long, Optimality 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 …