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Author Goos, Peter.

Title Optimal design of experiments [electronic resource] : a case study approach / Peter Goos, Bradley Jones.

Imprint Hoboken, N.J. : Wiley, 2011.


Location Call No. OPAC Message Status
 Axe ProQuest E-Book  Electronic Book    ---  Available
Description xiv, 287 p. : ill.
Bibliography Includes bibliographical references and index.
Summary "This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: 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 3 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 over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities?While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain. The structure of the book is organized around the following chapters: 1) Introduction explaining the concept of tailored DOE. 2) Basics of optimal design. 3) Nine case studies dealing with the above questions using the flow: description → design → analysis → optimization or engineering interpretation. 4) Summary. 5) Technical appendices for the mathematically curious"-- Provided by publisher.
"This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples"-- Provided by publisher.
Reproduction Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Subject Industrial engineering -- Experiments -- Computer-aided design.
Experimental design -- Data processing.
Industrial engineering -- Case studies.
Genre/Form Electronic books.
Added Author Jones, Bradley.
ProQuest (Firm)
ISBN 9781119974017 (e-book)
9781119976165 (ePub)
9781119976172 (Mobi)
9781119974000 (e-book)

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