Optimal design of experiments : a case study approach /

• Κύριος συγγραφέας: Goos, Peter
• Άλλοι συγγραφείς: Jones, Bradley
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Chichester : Wiley, [2011]
• Θέματα: Experimental design > Case studies.; Industrial engineering > Experiments > Computer-aided design > Case studies.; Electronic books.
• Φυσική περιγραφή: 1 online resource (xv, 287 pages)
• Βιβλιογραφία: Includes bibliographical references and index.
• ISBN: 9781119974017; 1119974011; 9781119974000; 1119974003; 9781119976165; 1119976162; 9781119976172; 1119976170
• DOI: 10.1002/9781119974017

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.