Optimal design of experiments a case study approach /

"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 variabili...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
מחבר ראשי: Goos, Peter
מחבר תאגידי: ebrary, Inc
מחברים אחרים: Jones, Bradley
פורמט: אלקטרוני ספר אלקטרוני
שפה:אנגלית
יצא לאור: Hoboken, N.J. : Wiley, 2011.
נושאים:
גישה מקוונת:An electronic book accessible through the World Wide Web; click to view
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
תיאור
סיכום:"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"--
"This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples"--
תיאור פיזי:xiv, 287 p. : ill.
ביבליוגרפיה:Includes bibliographical references and index.