Optimal Design Of Experiments A Case Study Approach Review

Optimal Design Of Experiments A Case Study Approach Review-5
, An Official Journal of the American Society for Quality and the American Statistical Association and published by Taylor & Francis, offers a prize to the authors of the best book reviewed in the journal during the last year.

, An Official Journal of the American Society for Quality and the American Statistical Association and published by Taylor & Francis, offers a prize to the authors of the best book reviewed in the journal during the last year.

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He has published a book as well as several methodological articles on the design and analysis of blocked and split-plot experiments.

Other interests of his in this area include discrete choice experiments, model-robust designs, experimental design for nonlinear models and for multiresponse data, and Taguchi experiments.

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 the technical material is presented brilliantly but not overwhelmingly. Everyone who practices or teaches DOE should read this book.

These examples address questions such as: • How can I do screening inexpensively if I have dozens of factors to investigate?

• What can I do if I have day-to-day variability and I can only perform three runs a day?

• How can I do RSM cost-effectively if I have categorical factors?

• How can I design and analyze experiments when there is a factor that can only be changed a few times during the study?

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