Optimal Design Of Experiments A Case Study Approach Review

Related works: This item may be available elsewhere in Econ Papers: Search for items with the same title.Export reference: Persistent link: https://Econ Papers.repec.org/Re PEc:bla:istatr:v:80:y:2012:i:2:p:341-342 Ordering information: This journal article can be ordered from ... These examples address questions such as: • How can I do screening inexpensively if I have dozens of factors to investigate?

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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.

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.

Statisticians and para-statisticians alike should enjoy this book.

Clearly a new day is dawning in the art and practice of experimental design.

Each chapter begins with a realistic experimental situation being informally discussed on site by local engineers and statistical consultants.

Next an optimal experimental design is constructed and the data with full detailed analysis provided.

Ten real-world design scenarios, which Goos and Jones present as consulting session conversations with clients, easily engage and absorb the reader.

A behind-the-scenes look at various technical treasures accompanies each scenario.


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