Optimal design of experiments
a case study approach
Our rough guess is there are 71,750 words in this book.
At a pace averaging 250 words per minute, this book will take 4 hours and 47 minutes to read. With a half hour per day, this will take 10 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Author
Contributions
- Jones, Bradley - Contributor
Publication
2011 - Wiley, Hoboken, N.J, New Jersey
Language
English
Word Count
71,750 words, Guess
Page Count
287 pages
Identifiers
- Internet Archiveoptimaldesignexp00goos
- Internet Archiveoptimaldesignexp00goos_682
- ISBN-139780470744611
- ISBN-100470744618
- Library of Congress Control Number2011008381
and 2 more
- Better World Books9780470744611
- Open LibraryOL25131374M
Classifications
- DDC670.285
- LCCT57.5 .G66 2011
- LCCTA345
Description
"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"--
Subjects
Other Editions
- Optimal design of experiments: a case study approach
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!