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...
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oai:localhost:123456789-1171632022-11-30T20:56:18Z Optimal design of experiments : a case study approach / Goos, Peter. Jones, Bradley. Engenharia industrial - Experimentos. Projeto experimental - Informática. Engenharia industrial - "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"-- 4 2022-10-06T04:15:45Z 2022-10-06T04:15:45Z 2011. Livro 66.012.1 G659o 9780470744611 (hardback) 179480 https://app.bczm.ufrn.br/home/#/item/179480 https://app.bczm.ufrn.br/home/#/item/179480 |
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Engenharia industrial - Experimentos. Projeto experimental - Informática. Engenharia industrial - |
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Engenharia industrial - Experimentos. Projeto experimental - Informática. Engenharia industrial - Goos, Peter. Jones, Bradley. Optimal design of experiments : a case study approach / |
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"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"-- |
| format |
Livro |
| author |
Goos, Peter. Jones, Bradley. |
| author_facet |
Goos, Peter. Jones, Bradley. |
| author_sort |
Goos, Peter. |
| title |
Optimal design of experiments : a case study approach / |
| title_short |
Optimal design of experiments : a case study approach / |
| title_full |
Optimal design of experiments : a case study approach / |
| title_fullStr |
Optimal design of experiments : a case study approach / |
| title_full_unstemmed |
Optimal design of experiments : a case study approach / |
| title_sort |
optimal design of experiments : a case study approach / |
| publishDate |
2022 |
| url |
https://app.bczm.ufrn.br/home/#/item/179480 |
| work_keys_str_mv |
AT goospeter optimaldesignofexperimentsacasestudyapproach AT jonesbradley optimaldesignofexperimentsacasestudyapproach |
| _version_ |
1766859527562461184 |