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 variability an...
Gardado en:
| Autor Principal: | |
|---|---|
| Autor Corporativo: | |
| Outros autores: | |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Hoboken, N.J. :
Wiley,
2011.
|
| Subjects: | |
| Acceso en liña: | An electronic book accessible through the World Wide Web; click to view |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|
MARC
| LEADER | 00000nam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | 0000136982 | ||
| 005 | 20171002061434.0 | ||
| 006 | m u | ||
| 007 | cr cn||||||||| | ||
| 008 | 110404s2011 njua sb 001 0 eng d | ||
| 010 | |z 2011008381 | ||
| 020 | |z 9781119974017 (e-book) | ||
| 020 | |z 9781119976165 (ePub) | ||
| 020 | |z 9781119976172 (Mobi) | ||
| 020 | |z 9780470744611 | ||
| 020 | |z 9781119974000 (e-book) | ||
| 035 | |a (CaPaEBR)ebr10483232 | ||
| 035 | |a (OCoLC)747411905 | ||
| 040 | |a CaPaEBR |c CaPaEBR | ||
| 050 | 1 | 4 | |a T57.5 |b .G66 2011eb |
| 082 | 0 | 4 | |a 670.285 |2 22 |
| 100 | 1 | |a Goos, Peter. | |
| 245 | 1 | 0 | |a Optimal design of experiments |h [electronic resource] : |b a case study approach / |c Peter Goos, Bradley Jones. |
| 260 | |a Hoboken, N.J. : |b Wiley, |c 2011. | ||
| 300 | |a xiv, 287 p. : |b ill. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "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"-- |c Provided by publisher. | ||
| 520 | |a "This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples"-- |c Provided by publisher. | ||
| 533 | |a Electronic reproduction. |b Palo Alto, Calif. : |c ebrary, |d 2011. |n Available via World Wide Web. |n Access may be limited to ebrary affiliated libraries. | ||
| 650 | 0 | |a Industrial engineering |x Experiments |x Computer-aided design. | |
| 650 | 0 | |a Experimental design |x Data processing. | |
| 650 | 0 | |a Industrial engineering |v Case studies. | |
| 655 | 7 | |a Electronic books. |2 local | |
| 700 | 1 | |a Jones, Bradley. | |
| 710 | 2 | |a ebrary, Inc. | |
| 856 | 4 | 0 | |u http://site.ebrary.com/lib/daystar/Doc?id=10483232 |z An electronic book accessible through the World Wide Web; click to view |
| 908 | |a 170314 | ||
| 942 | 0 | 0 | |c EB |
| 999 | |c 126131 |d 126131 | ||