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 …

" This is an engaging and informative book on the modern practice of experimental design.
The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, 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 …

Why study the theory of experiment design? Although it can be useful to know about special
designs for specific purposes, experience suggests that a particular design can rarely be …

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 …

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 …

The key objective of this book is to introduce and provide instruction on the design and
analysis of experiments. This expanded edition contains additional examples, exercises …

Multiple outputs or measurement types are commonly gathered in biological experiments.
Often, these experiments are expensive (such as clinical drug trials) or require careful …

The book is written for anyone who wants to design experiments, carry them out, and
analyze the results. The authors provide a clear-cut, practical approach to designing …