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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, N.J. :
Wiley,
2011.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Goos, Peter. | |
| 245 | 1 | 0 | |a Optimal design of experiments : |b a case study approach / |c Peter Goos, Bradley Jones. |
| 260 | |a Hoboken, N.J. : |b Wiley, |c 2011. | ||
| 300 | |a 1 online resource (xiv, 287 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 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. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a A Simple Comparative Experiment -- An Optimal Screening Experiment -- Adding Runs to a Screening Experiment -- A Response Surface Design with a Categorical Factor -- A Response Surface Design in an Irregularly Shaped Design Region -- A 'Mixture' Experiment with Process Variables -- A Response Surface Design in Blocks -- A Screening Experiment in Blocks -- Experimental Design in the Presence of Covariates -- A Split-Plot Design -- A Two-Way Split-Plot Design. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 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. | |
| 650 | 6 | |a Génie industriel |x Expériences |x Conception assistée par ordinateur. | |
| 650 | 6 | |a Plan d'expérience |x Informatique. | |
| 650 | 6 | |a Génie industriel |v Études de cas. | |
| 650 | 7 | |a COMPUTERS |x CAD-CAM. |2 bisacsh | |
| 650 | 7 | |a Experimental design |x Data processing |2 fast | |
| 650 | 7 | |a Industrial engineering |2 fast | |
| 650 | 7 | |a Engineering & Applied Sciences. |2 hilcc | |
| 650 | 7 | |a Applied Mathematics. |2 hilcc | |
| 655 | 7 | |a Case studies |2 fast | |
| 700 | 1 | |a Jones, Bradley. | |
| 776 | 0 | 8 | |i Print version: |a Goos, Peter. |t Optimal design of experiments. |d Hoboken, N.J. : Wiley, 2011 |w (DLC) 2011008381 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=697607 |z Texto completo |
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