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Optimal Design of Experiments [[electronic resource] ] : A Case Study Approach
| Optimal Design of Experiments [[electronic resource] ] : A Case Study Approach |
| Autore | Goos Peter |
| Pubbl/distr/stampa | Chicester, : Wiley, 2011 |
| Descrizione fisica | 1 online resource (305 p.) |
| Disciplina |
500
620.00420285 |
| Altri autori (Persone) | JonesBradley |
| Soggetto topico |
Experimental design - Data processing
Experimental design -- Data processing Industrial engineering Industrial engineering -- Case studies Industrial engineering - Experiments - Computer-aided design Industrial engineering -- Experiments -- Computer-aided design SCIENCE / Experiments & Projects Engineering & Applied Sciences Applied Mathematics |
| ISBN |
1-283-17783-8
9786613177834 1-119-97401-1 1-119-97400-3 |
| Classificazione | SCI028000 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Optimal Design of Experiments : A Case Study Approach; Contents; Preface; Acknowledgments; 1 A simple comparative experiment; 1.1 Key concepts; 1.2 The setup of a comparative experiment; 1.3 Summary; 2 An optimal screening experiment; 2.1 Key concepts; 2.2 Case: an extraction experiment; 2.2.1 Problem and design; 2.2.2 Data analysis; 2.3 Peek into the black box; 2.3.1 Main-effects models; 2.3.2 Models with two-factor interaction effects; 2.3.3 Factor scaling; 2.3.4 Ordinary least squares estimation; 2.3.5 Significance tests and statistical power calculations; 2.3.6 Variance inflation
2.3.7 Aliasing2.3.8 Optimal design; 2.3.9 Generating optimal experimental designs; 2.3.10 The extraction experiment revisited; 2.3.11 Principles of successful screening: sparsity, hierarchy, and heredity; 2.4 Background reading; 2.4.1 Screening; 2.4.2 Algorithms for finding optimal designs; 2.5 Summary; 3 Adding runs to a screening experiment; 3.1 Key concepts; 3.2 Case: an augmented extraction experiment; 3.2.1 Problem and design; 3.2.2 Data analysis; 3.3 Peek into the black box; 3.3.1 Optimal selection of a follow-up design; 3.3.2 Design construction algorithm; 3.3.3 Foldover designs 3.4 Background reading3.5 Summary; 4 A response surface design with a categorical factor; 4.1 Key concepts; 4.2 Case: a robust and optimal process experiment; 4.2.1 Problem and design; 4.2.2 Data analysis; 4.3 Peek into the black box; 4.3.1 Quadratic effects; 4.3.2 Dummy variables for multilevel categorical factors; 4.3.3 Computing D-efficiencies; 4.3.4 Constructing Fraction of Design Space plots; 4.3.5 Calculating the average relative variance of prediction; 4.3.6 Computing I-efficiencies; 4.3.7 Ensuring the validity of inference based on ordinary least squares; 4.3.8 Design regions 4.4 Background reading4.5 Summary; 5 A response surface design in an irregularly shaped design region; 5.1 Key concepts; 5.2 Case: the yield maximization experiment; 5.2.1 Problem and design; 5.2.2 Data analysis; 5.3 Peek into the black box; 5.3.1 Cubic factor effects; 5.3.2 Lack-of-fit test; 5.3.3 Incorporating factor constraints in the design construction algorithm; 5.4 Background reading; 5.5 Summary; 6 A "mixture" experiment with process variables; 6.1 Key concepts; 6.2 Case: the rolling mill experiment; 6.2.1 Problem and design; 6.2.2 Data analysis; 6.3 Peek into the black box 6.3.1 The mixture constraint6.3.2 The effect of the mixture constraint on the model; 6.3.3 Commonly used models for data from mixture experiments; 6.3.4 Optimal designs for mixture experiments; 6.3.5 Design construction algorithms for mixture experiments; 6.4 Background reading; 6.5 Summary; 7 A response surface design in blocks; 7.1 Key concepts; 7.2 Case: the pastry dough experiment; 7.2.1 Problem and design; 7.2.2 Data analysis; 7.3 Peek into the black box; 7.3.1 Model; 7.3.2 Generalized least squares estimation; 7.3.3 Estimation of variance components; 7.3.4 Significance tests 7.3.5 Optimal design of blocked experiments |
| Record Nr. | UNINA-9910139627203321 |
Goos Peter
|
||
| Chicester, : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimal Design of Experiments [[electronic resource] ] : A Case Study Approach
| Optimal Design of Experiments [[electronic resource] ] : A Case Study Approach |
| Autore | Goos Peter |
| Pubbl/distr/stampa | Chicester, : Wiley, 2011 |
| Descrizione fisica | 1 online resource (305 p.) |
| Disciplina |
500
620.00420285 |
| Altri autori (Persone) | JonesBradley |
| Soggetto topico |
Experimental design - Data processing
Experimental design -- Data processing Industrial engineering Industrial engineering -- Case studies Industrial engineering - Experiments - Computer-aided design Industrial engineering -- Experiments -- Computer-aided design SCIENCE / Experiments & Projects Engineering & Applied Sciences Applied Mathematics |
| ISBN |
1-283-17783-8
9786613177834 1-119-97401-1 1-119-97400-3 |
| Classificazione | SCI028000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Optimal Design of Experiments : A Case Study Approach; Contents; Preface; Acknowledgments; 1 A simple comparative experiment; 1.1 Key concepts; 1.2 The setup of a comparative experiment; 1.3 Summary; 2 An optimal screening experiment; 2.1 Key concepts; 2.2 Case: an extraction experiment; 2.2.1 Problem and design; 2.2.2 Data analysis; 2.3 Peek into the black box; 2.3.1 Main-effects models; 2.3.2 Models with two-factor interaction effects; 2.3.3 Factor scaling; 2.3.4 Ordinary least squares estimation; 2.3.5 Significance tests and statistical power calculations; 2.3.6 Variance inflation
2.3.7 Aliasing2.3.8 Optimal design; 2.3.9 Generating optimal experimental designs; 2.3.10 The extraction experiment revisited; 2.3.11 Principles of successful screening: sparsity, hierarchy, and heredity; 2.4 Background reading; 2.4.1 Screening; 2.4.2 Algorithms for finding optimal designs; 2.5 Summary; 3 Adding runs to a screening experiment; 3.1 Key concepts; 3.2 Case: an augmented extraction experiment; 3.2.1 Problem and design; 3.2.2 Data analysis; 3.3 Peek into the black box; 3.3.1 Optimal selection of a follow-up design; 3.3.2 Design construction algorithm; 3.3.3 Foldover designs 3.4 Background reading3.5 Summary; 4 A response surface design with a categorical factor; 4.1 Key concepts; 4.2 Case: a robust and optimal process experiment; 4.2.1 Problem and design; 4.2.2 Data analysis; 4.3 Peek into the black box; 4.3.1 Quadratic effects; 4.3.2 Dummy variables for multilevel categorical factors; 4.3.3 Computing D-efficiencies; 4.3.4 Constructing Fraction of Design Space plots; 4.3.5 Calculating the average relative variance of prediction; 4.3.6 Computing I-efficiencies; 4.3.7 Ensuring the validity of inference based on ordinary least squares; 4.3.8 Design regions 4.4 Background reading4.5 Summary; 5 A response surface design in an irregularly shaped design region; 5.1 Key concepts; 5.2 Case: the yield maximization experiment; 5.2.1 Problem and design; 5.2.2 Data analysis; 5.3 Peek into the black box; 5.3.1 Cubic factor effects; 5.3.2 Lack-of-fit test; 5.3.3 Incorporating factor constraints in the design construction algorithm; 5.4 Background reading; 5.5 Summary; 6 A "mixture" experiment with process variables; 6.1 Key concepts; 6.2 Case: the rolling mill experiment; 6.2.1 Problem and design; 6.2.2 Data analysis; 6.3 Peek into the black box 6.3.1 The mixture constraint6.3.2 The effect of the mixture constraint on the model; 6.3.3 Commonly used models for data from mixture experiments; 6.3.4 Optimal designs for mixture experiments; 6.3.5 Design construction algorithms for mixture experiments; 6.4 Background reading; 6.5 Summary; 7 A response surface design in blocks; 7.1 Key concepts; 7.2 Case: the pastry dough experiment; 7.2.1 Problem and design; 7.2.2 Data analysis; 7.3 Peek into the black box; 7.3.1 Model; 7.3.2 Generalized least squares estimation; 7.3.3 Estimation of variance components; 7.3.4 Significance tests 7.3.5 Optimal design of blocked experiments |
| Record Nr. | UNINA-9910830036603321 |
|
Goos Peter
|
||
| Chicester, : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimal Design of Experiments [[electronic resource] ] : A Case Study Approach
| Optimal Design of Experiments [[electronic resource] ] : A Case Study Approach |
| Autore | Goos Peter |
| Pubbl/distr/stampa | Chicester, : Wiley, 2011 |
| Descrizione fisica | 1 online resource (305 p.) |
| Disciplina |
500
620.00420285 |
| Altri autori (Persone) | JonesBradley |
| Soggetto topico |
Experimental design - Data processing
Experimental design -- Data processing Industrial engineering Industrial engineering -- Case studies Industrial engineering - Experiments - Computer-aided design Industrial engineering -- Experiments -- Computer-aided design SCIENCE / Experiments & Projects Engineering & Applied Sciences Applied Mathematics |
| ISBN |
1-283-17783-8
9786613177834 1-119-97401-1 1-119-97400-3 |
| Classificazione | SCI028000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Optimal Design of Experiments : A Case Study Approach; Contents; Preface; Acknowledgments; 1 A simple comparative experiment; 1.1 Key concepts; 1.2 The setup of a comparative experiment; 1.3 Summary; 2 An optimal screening experiment; 2.1 Key concepts; 2.2 Case: an extraction experiment; 2.2.1 Problem and design; 2.2.2 Data analysis; 2.3 Peek into the black box; 2.3.1 Main-effects models; 2.3.2 Models with two-factor interaction effects; 2.3.3 Factor scaling; 2.3.4 Ordinary least squares estimation; 2.3.5 Significance tests and statistical power calculations; 2.3.6 Variance inflation
2.3.7 Aliasing2.3.8 Optimal design; 2.3.9 Generating optimal experimental designs; 2.3.10 The extraction experiment revisited; 2.3.11 Principles of successful screening: sparsity, hierarchy, and heredity; 2.4 Background reading; 2.4.1 Screening; 2.4.2 Algorithms for finding optimal designs; 2.5 Summary; 3 Adding runs to a screening experiment; 3.1 Key concepts; 3.2 Case: an augmented extraction experiment; 3.2.1 Problem and design; 3.2.2 Data analysis; 3.3 Peek into the black box; 3.3.1 Optimal selection of a follow-up design; 3.3.2 Design construction algorithm; 3.3.3 Foldover designs 3.4 Background reading3.5 Summary; 4 A response surface design with a categorical factor; 4.1 Key concepts; 4.2 Case: a robust and optimal process experiment; 4.2.1 Problem and design; 4.2.2 Data analysis; 4.3 Peek into the black box; 4.3.1 Quadratic effects; 4.3.2 Dummy variables for multilevel categorical factors; 4.3.3 Computing D-efficiencies; 4.3.4 Constructing Fraction of Design Space plots; 4.3.5 Calculating the average relative variance of prediction; 4.3.6 Computing I-efficiencies; 4.3.7 Ensuring the validity of inference based on ordinary least squares; 4.3.8 Design regions 4.4 Background reading4.5 Summary; 5 A response surface design in an irregularly shaped design region; 5.1 Key concepts; 5.2 Case: the yield maximization experiment; 5.2.1 Problem and design; 5.2.2 Data analysis; 5.3 Peek into the black box; 5.3.1 Cubic factor effects; 5.3.2 Lack-of-fit test; 5.3.3 Incorporating factor constraints in the design construction algorithm; 5.4 Background reading; 5.5 Summary; 6 A "mixture" experiment with process variables; 6.1 Key concepts; 6.2 Case: the rolling mill experiment; 6.2.1 Problem and design; 6.2.2 Data analysis; 6.3 Peek into the black box 6.3.1 The mixture constraint6.3.2 The effect of the mixture constraint on the model; 6.3.3 Commonly used models for data from mixture experiments; 6.3.4 Optimal designs for mixture experiments; 6.3.5 Design construction algorithms for mixture experiments; 6.4 Background reading; 6.5 Summary; 7 A response surface design in blocks; 7.1 Key concepts; 7.2 Case: the pastry dough experiment; 7.2.1 Problem and design; 7.2.2 Data analysis; 7.3 Peek into the black box; 7.3.1 Model; 7.3.2 Generalized least squares estimation; 7.3.3 Estimation of variance components; 7.3.4 Significance tests 7.3.5 Optimal design of blocked experiments |
| Record Nr. | UNINA-9910841780503321 |
|
Goos Peter
|
||
| Chicester, : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 1995 International Symposium and Workshop on Systems Engineering of Computer Based Systems, March 6-9,1995, Tucson, Arizona
| Proceedings of the 1995 International Symposium and Workshop on Systems Engineering of Computer Based Systems, March 6-9,1995, Tucson, Arizona |
| Pubbl/distr/stampa | [Place of publication not identified], : Institute of Electrical and Electronics Engineers, 1995 |
| Disciplina | 620/.001/171 |
| Soggetto topico |
Computer-aided engineering
Systems engineering Engineering & Applied Sciences Applied Mathematics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996204475803316 |
| [Place of publication not identified], : Institute of Electrical and Electronics Engineers, 1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of the 2013 Spring Simulation Multiconference : 46th annual Simulation Symposium (ANSS 2013
| Proceedings of the 2013 Spring Simulation Multiconference : 46th annual Simulation Symposium (ANSS 2013 |
| Autore | Imsand Eric |
| Pubbl/distr/stampa | [Place of publication not identified], : Society for Computer Simulation International, 2013 |
| Descrizione fisica | 1 online resource (115 pages) |
| Collana | Simulation Series |
| Soggetto topico |
Engineering & Applied Sciences
Applied Mathematics |
| ISBN | 1-62748-030-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the 46th annual Simulation Symposium
ANSS 2013 |
| Record Nr. | UNINA-9910375712703321 |
|
Imsand Eric
|
||
| [Place of publication not identified], : Society for Computer Simulation International, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 46th annual Design Automation Conference
| Proceedings of the 46th annual Design Automation Conference |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2009 |
| Descrizione fisica | 1 online resource (994 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Engineering & Applied Sciences
Applied Mathematics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | DAC '09 |
| Record Nr. | UNINA-9910138750703321 |
| [Place of publication not identified], : ACM, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 46th annual Design Automation Conference
| Proceedings of the 46th annual Design Automation Conference |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2009 |
| Descrizione fisica | 1 online resource (994 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Engineering & Applied Sciences
Applied Mathematics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | DAC '09 |
| Record Nr. | UNISA-996206451803316 |
| [Place of publication not identified], : ACM, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings, SPM 2005 : ACM Symposium on Solid and Physical Modeling : Cambridge, Massachusetts, June 13-15, 2005
| Proceedings, SPM 2005 : ACM Symposium on Solid and Physical Modeling : Cambridge, Massachusetts, June 13-15, 2005 |
| Pubbl/distr/stampa | [Place of publication not identified], : Association for Computing Machinery, 2005 |
| Descrizione fisica | 1 online resource (287 p.;) |
| Disciplina | 620/.00420285 |
| Collana | ACM Conferences |
| Soggetto topico |
Computer-aided engineering
Computer graphics Solids Engineering & Applied Sciences Applied Mathematics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | SPM '05 |
| Record Nr. | UNINA-9910375909903321 |
| [Place of publication not identified], : Association for Computing Machinery, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings, SPM 2006 : ACM Symposium on Solid and Physical Modeling : Cardiff, Wales, United Kingdom, June 06-08, 2006
| Proceedings, SPM 2006 : ACM Symposium on Solid and Physical Modeling : Cardiff, Wales, United Kingdom, June 06-08, 2006 |
| Autore | Martin Ralph |
| Pubbl/distr/stampa | [Place of publication not identified], : Association for Computing Machinery, 2006 |
| Descrizione fisica | 1 online resource (235 p.;) |
| Disciplina | 620/.00420285 |
| Collana | ACM Conferences |
| Soggetto topico |
Computer graphics
Computer-aided engineering Solids Engineering & Applied Sciences Applied Mathematics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | SPM '06 |
| Record Nr. | UNINA-9910376486403321 |
|
Martin Ralph
|
||
| [Place of publication not identified], : Association for Computing Machinery, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
SIAM journal on applied dynamical systems
| SIAM journal on applied dynamical systems |
| Pubbl/distr/stampa | Philadelphia, PA, : Society of Industrial and Applied Mathematics, ©2002- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Mathematical analysis
Applied Mathematics |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Applied Mathematics |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
SIADS
Society of Industrial and Applied Mathematics journal on applied dynamical systems |
| Record Nr. | UNINA-9910146655203321 |
| Philadelphia, PA, : Society of Industrial and Applied Mathematics, ©2002- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
