TY  - BOOK
AU  - Goos,Peter
AU  - Jones,Bradley
ED  - ProQuest (Firm)
TI  - Optimal design of experiments: a case study approach 
AV  - T57.5 .G66 2011
U1  - 670.285 22
PY  - 2011///
CY  - Hoboken, N.J.
PB  - Wiley
KW  - Industrial engineering
KW  - Experiments
KW  - Computer-aided design
KW  - Experimental design
KW  - Data processing
KW  - Case studies
KW  - Electronic books
N1  - Includes bibliographical references and index; Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries
N2  - "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"--
UR  - http://ebookcentral.proquest.com/lib/aitie/detail.action?docID=697607
ER  -