Optimal Design of Experiments: A Case Study Approach

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9780470744611: Optimal Design of Experiments: A Case Study Approach

"This is an engaging and informative book on the modern practiceof experimental design. The authors' writing style is entertaining,the consulting dialogs are extremely enjoyable, and the technicalmaterial is presented brilliantly but not overwhelmingly. The bookis a joy to read. Everyone who practices or teaches DOE should readthis book." - Douglas C. Montgomery, RegentsProfessor, Department of Industrial Engineering, Arizona StateUniversity

"It's been said: 'Design for the experiment, don't experimentfor the design.' This book ably demonstrates this notion by showinghow tailor-made, optimal designs can be effectively employed tomeet a client's actual needs. It should be required reading foranyone interested in using the design of experiments in industrialsettings." Christopher J. Nachtsheim, Frank A DonaldsonChair in Operations Management, Carlson School of Management,University of Minnesota

This book demonstrates the utility of the computer-aided optimaldesign approach using real industrial examples. These examplesaddress questions such as the following: * How can I do screening inexpensively if I have dozens offactors to investigate? * What can I do if I have day-to-day variability and I can onlyperform 3 runs a day? * How can I do RSM cost effectively if I have categoricalfactors? * How can I design and analyze experiments when there is a factorthat can only be changed a few times over the study? * How can I include both ingredients in a mixture and processingfactors in the same study? * How can I design an experiment if there are many factorcombinations that are impossible to run? * How can I make sure that a time trend due to warming up ofequipment does not affect the conclusions from a study? * How can I take into account batch information in when designingexperiments involving multiple batches? * How can I add runs to a botched experiment to resolveambiguities?

While answering these questions the book also shows how toevaluate and compare designs. This allows researchers to makesensible trade-offs between the cost of experimentation and theamount of information they obtain.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

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Peter Goos, Bradley Jones
Editore: John Wiley and Sons Ltd, United States (2011)
ISBN 10: 0470744618 ISBN 13: 9780470744611
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Descrizione libro John Wiley and Sons Ltd, United States, 2011. Hardback. Condizione libro: New. 234 x 158 mm. Language: English . Brand New Book. 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. The book is a joy to read. Everyone who practices or teaches DOE should read this book. - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University It s been said: Design for the experiment, don t experiment for the design. This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client s actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings. Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota 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. Codice libro della libreria AAH9780470744611

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Peter Goos, Bradley Jones
Editore: John Wiley and Sons Ltd, United States (2011)
ISBN 10: 0470744618 ISBN 13: 9780470744611
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Descrizione libro John Wiley and Sons Ltd, United States, 2011. Hardback. Condizione libro: New. 234 x 158 mm. Language: English . Brand New Book. 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. The book is a joy to read. Everyone who practices or teaches DOE should read this book. - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University It s been said: Design for the experiment, don t experiment for the design. This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client s actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings. Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota 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. Codice libro della libreria AAH9780470744611

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Descrizione libro Wiley 2011-07-01, Oxford, 2011. hardback. Condizione libro: New. Codice libro della libreria 9780470744611

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Descrizione libro John Wiley and Sons Ltd. Hardback. Condizione libro: new. BRAND NEW, A Optimal Design of Experiments: A Case Study Approach, Peter Goos, Bradley Jones, "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. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." -Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota 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. Codice libro della libreria B9780470744611

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Descrizione libro Wileyand#8211;Blackwell, 2011. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria FW-9780470744611

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Descrizione libro Wiley, 2011. Hardcover. Condizione libro: New. book. Codice libro della libreria 0470744618

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Descrizione libro Wileyand#8211;Blackwell, 2011. HRD. Condizione libro: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria IP-9780470744611

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Descrizione libro Wiley, 2011. Hardcover. Condizione libro: New. 1. Codice libro della libreria DADAX0470744618

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Descrizione libro John Wiley and Sons Ltd, 2011. Condizione libro: New. Codice libro della libreria UA9780470744611

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Descrizione libro John Wiley And Sons Ltd Jul 2011, 2011. Buch. Condizione libro: Neu. 231x159x21 mm. Neuware - Peter Goos, Department of Mathematics, Statistics and Actuarial Sciences of the Faculty of Applied Economics of the University of Antwerp. His main research topic is the optimal design of experiments. 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 non-linear models and for multiresponse data, and Taguchi experiments. He is also a member of the editorial review board of the Journal of Quality Technology. 304 pp. Englisch. Codice libro della libreria 9780470744611

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