Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 | Hoboken, : Wiley, 2011 |
| Descrizione fisica | 1 online resource (305 p.) |
| Disciplina | 670.285 |
| Altri autori (Persone) | JonesBradley |
| Soggetto topico |
Experimental design -- Data processing
Industrial engineering -- Case studies Industrial engineering -- Experiments -- Computer-aided design |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-119-97616-2 |
| 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-9910465896303321 |
Goos Peter
|
||
| Hoboken, : 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-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 | Hoboken, : Wiley, 2011 |
| Descrizione fisica | 1 online resource (305 p.) |
| Disciplina | 670.285 |
| Altri autori (Persone) | JonesBradley |
| Soggetto topico |
Experimental design -- Data processing
Industrial engineering -- Case studies Industrial engineering -- Experiments -- Computer-aided design |
| ISBN | 1-119-97616-2 |
| 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-9910798565703321 |
|
Goos Peter
|
||
| Hoboken, : 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 | Hoboken, : Wiley, 2011 |
| Descrizione fisica | 1 online resource (305 p.) |
| Disciplina | 670.285 |
| Altri autori (Persone) | JonesBradley |
| Soggetto topico |
Experimental design -- Data processing
Industrial engineering -- Case studies Industrial engineering -- Experiments -- Computer-aided design |
| ISBN | 1-119-97616-2 |
| 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-9910807308203321 |
|
Goos Peter
|
||
| Hoboken, : 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 | ||
| ||
Web 2.0 heroes [[electronic resource] ] : interviews with 21 Web 2.0 influencers / / Bradley L. Jones [interviewer]
| Web 2.0 heroes [[electronic resource] ] : interviews with 21 Web 2.0 influencers / / Bradley L. Jones [interviewer] |
| Pubbl/distr/stampa | Indianapolis, IN, : Wiley Pub., c2008 |
| Descrizione fisica | 1 online resource (290 p.) |
| Disciplina | 384.3/3 |
| Altri autori (Persone) | JonesBradley |
| Soggetto topico |
Web 2.0
Telecommunications engineers Web sites |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-28581-1
9786611285814 0-470-37895-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Web 2.0 Heroes: Interviews with 20 Web 2.0 Influencers; Contents; Introduction; Chapter 1: Max Mancini: eBay; If You Can Create a Compelling Experience for the Consumers...; Sound Bites; Chapter 2: Alan Meckler: Internet.com; We Tend to Think that We've Seen it All, When in Fact We Haven't Seen Anything Yet; Sound Bites; Chapter 3: Eric Engleman: Bloglines; I Don't Think There Is Anything Right or Wrong about Web 2.0; Sound Bites; Chapter 4: Gina Bianchini: Ning; I Don't Think It Matters...; Sound Bites; Chapter 5: Dorion Carroll: Technorati; See if it Sticks. If it Doesn't, Fail Fast
Move on to the Next Idea.Sound Bites; Chapter 6: Raju Vegesna: Zoho; That's What Web 2.0 Is: a Combination of the Wisdom of the Crowd and the Read/Write Web; Sound Bites; Chapter 7: Richard MacManus: Read/WriteWeb & Web 2.0 Workgroup; Web 2.0 Has Come To Be a Marketing Term...; Sound Bites; Chapter 8: TJ Kang: ThinkFree; We're at the Inflection Point; Sound Bites; Chapter 9: Patrick Crane: LinkedIn; It's a Fascinating Era That We're In; Sound Bites; Chapter 10: Shaun Walker: DotNetNuke; A Lot of the Players Will Need to Evolve with the Technology; Sound Bites; Chapter 11: Biz Stone: Twitter People Find Value in OpennessSound Bites; Chapter 12: Seth Sternberg: Meebo; I Don't Think There is Anything Right or Wrong About Web 2.0; Sound Bites; Chapter 13: Joshua Schachter: del.icio us; The Limiting Factor Is Imagination and Implementation Skill; Sound Bites; Chapter 14: Ranjith Kumaran: YouSendIt; At a High Level, Web 2.0 is About Enabling Interesting Conversations and Collaboration; Sound Bites; Chapter 15: Garrett Camp: StumbleUpon; It is About the User Experience, Not the Technologies; Sound Bites; Chapter 16: Rodrigo Madanes: Skype Web 2.0 Is Changing People's Lives and Changing IndustriesSound Bites; Chapter 17: Rod Smith: IBM Corporation; Web 2.0 Is That Intersection of Social Changes, Economic Changes, and Technology Changes; Sound Bites; Chapter 18: Tim Harris: Microsoft Corporation; There Is No Consensus in the Industry of What Web 2.0 Is; Sound Bites; Chapter 19: Bob Brewin & Tim Bray: Sun Microsystems; It Is All about the Information Flow; Sound Bites; Chapter 20: Michele Turner: Adobe Systems Incorporated; We Are on the Edge of This Very Exciting Time; Sound Bites; Index |
| Record Nr. | UNINA-9910451313203321 |
| Indianapolis, IN, : Wiley Pub., c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Web 2.0 heroes [[electronic resource] ] : interviews with 21 Web 2.0 influencers / / Bradley L. Jones [interviewer]
| Web 2.0 heroes [[electronic resource] ] : interviews with 21 Web 2.0 influencers / / Bradley L. Jones [interviewer] |
| Pubbl/distr/stampa | Indianapolis, IN, : Wiley Pub., c2008 |
| Descrizione fisica | 1 online resource (290 p.) |
| Disciplina | 384.3/3 |
| Altri autori (Persone) | JonesBradley |
| Soggetto topico |
Web 2.0
Telecommunications engineers Web sites |
| ISBN |
1-281-28581-1
9786611285814 0-470-37895-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Web 2.0 Heroes: Interviews with 20 Web 2.0 Influencers; Contents; Introduction; Chapter 1: Max Mancini: eBay; If You Can Create a Compelling Experience for the Consumers...; Sound Bites; Chapter 2: Alan Meckler: Internet.com; We Tend to Think that We've Seen it All, When in Fact We Haven't Seen Anything Yet; Sound Bites; Chapter 3: Eric Engleman: Bloglines; I Don't Think There Is Anything Right or Wrong about Web 2.0; Sound Bites; Chapter 4: Gina Bianchini: Ning; I Don't Think It Matters...; Sound Bites; Chapter 5: Dorion Carroll: Technorati; See if it Sticks. If it Doesn't, Fail Fast
Move on to the Next Idea.Sound Bites; Chapter 6: Raju Vegesna: Zoho; That's What Web 2.0 Is: a Combination of the Wisdom of the Crowd and the Read/Write Web; Sound Bites; Chapter 7: Richard MacManus: Read/WriteWeb & Web 2.0 Workgroup; Web 2.0 Has Come To Be a Marketing Term...; Sound Bites; Chapter 8: TJ Kang: ThinkFree; We're at the Inflection Point; Sound Bites; Chapter 9: Patrick Crane: LinkedIn; It's a Fascinating Era That We're In; Sound Bites; Chapter 10: Shaun Walker: DotNetNuke; A Lot of the Players Will Need to Evolve with the Technology; Sound Bites; Chapter 11: Biz Stone: Twitter People Find Value in OpennessSound Bites; Chapter 12: Seth Sternberg: Meebo; I Don't Think There is Anything Right or Wrong About Web 2.0; Sound Bites; Chapter 13: Joshua Schachter: del.icio us; The Limiting Factor Is Imagination and Implementation Skill; Sound Bites; Chapter 14: Ranjith Kumaran: YouSendIt; At a High Level, Web 2.0 is About Enabling Interesting Conversations and Collaboration; Sound Bites; Chapter 15: Garrett Camp: StumbleUpon; It is About the User Experience, Not the Technologies; Sound Bites; Chapter 16: Rodrigo Madanes: Skype Web 2.0 Is Changing People's Lives and Changing IndustriesSound Bites; Chapter 17: Rod Smith: IBM Corporation; Web 2.0 Is That Intersection of Social Changes, Economic Changes, and Technology Changes; Sound Bites; Chapter 18: Tim Harris: Microsoft Corporation; There Is No Consensus in the Industry of What Web 2.0 Is; Sound Bites; Chapter 19: Bob Brewin & Tim Bray: Sun Microsystems; It Is All about the Information Flow; Sound Bites; Chapter 20: Michele Turner: Adobe Systems Incorporated; We Are on the Edge of This Very Exciting Time; Sound Bites; Index |
| Record Nr. | UNINA-9910777493503321 |
| Indianapolis, IN, : Wiley Pub., c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Web 2.0 heroes [[electronic resource] ] : interviews with 21 Web 2.0 influencers / / Bradley L. Jones [interviewer]
| Web 2.0 heroes [[electronic resource] ] : interviews with 21 Web 2.0 influencers / / Bradley L. Jones [interviewer] |
| Pubbl/distr/stampa | Indianapolis, IN, : Wiley Pub., c2008 |
| Descrizione fisica | 1 online resource (290 p.) |
| Disciplina | 384.3/3 |
| Altri autori (Persone) | JonesBradley |
| Soggetto topico |
Web 2.0
Telecommunications engineers Web sites |
| ISBN |
1-281-28581-1
9786611285814 0-470-37895-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Web 2.0 Heroes: Interviews with 20 Web 2.0 Influencers; Contents; Introduction; Chapter 1: Max Mancini: eBay; If You Can Create a Compelling Experience for the Consumers...; Sound Bites; Chapter 2: Alan Meckler: Internet.com; We Tend to Think that We've Seen it All, When in Fact We Haven't Seen Anything Yet; Sound Bites; Chapter 3: Eric Engleman: Bloglines; I Don't Think There Is Anything Right or Wrong about Web 2.0; Sound Bites; Chapter 4: Gina Bianchini: Ning; I Don't Think It Matters...; Sound Bites; Chapter 5: Dorion Carroll: Technorati; See if it Sticks. If it Doesn't, Fail Fast
Move on to the Next Idea.Sound Bites; Chapter 6: Raju Vegesna: Zoho; That's What Web 2.0 Is: a Combination of the Wisdom of the Crowd and the Read/Write Web; Sound Bites; Chapter 7: Richard MacManus: Read/WriteWeb & Web 2.0 Workgroup; Web 2.0 Has Come To Be a Marketing Term...; Sound Bites; Chapter 8: TJ Kang: ThinkFree; We're at the Inflection Point; Sound Bites; Chapter 9: Patrick Crane: LinkedIn; It's a Fascinating Era That We're In; Sound Bites; Chapter 10: Shaun Walker: DotNetNuke; A Lot of the Players Will Need to Evolve with the Technology; Sound Bites; Chapter 11: Biz Stone: Twitter People Find Value in OpennessSound Bites; Chapter 12: Seth Sternberg: Meebo; I Don't Think There is Anything Right or Wrong About Web 2.0; Sound Bites; Chapter 13: Joshua Schachter: del.icio us; The Limiting Factor Is Imagination and Implementation Skill; Sound Bites; Chapter 14: Ranjith Kumaran: YouSendIt; At a High Level, Web 2.0 is About Enabling Interesting Conversations and Collaboration; Sound Bites; Chapter 15: Garrett Camp: StumbleUpon; It is About the User Experience, Not the Technologies; Sound Bites; Chapter 16: Rodrigo Madanes: Skype Web 2.0 Is Changing People's Lives and Changing IndustriesSound Bites; Chapter 17: Rod Smith: IBM Corporation; Web 2.0 Is That Intersection of Social Changes, Economic Changes, and Technology Changes; Sound Bites; Chapter 18: Tim Harris: Microsoft Corporation; There Is No Consensus in the Industry of What Web 2.0 Is; Sound Bites; Chapter 19: Bob Brewin & Tim Bray: Sun Microsystems; It Is All about the Information Flow; Sound Bites; Chapter 20: Michele Turner: Adobe Systems Incorporated; We Are on the Edge of This Very Exciting Time; Sound Bites; Index |
| Record Nr. | UNINA-9910812302003321 |
| Indianapolis, IN, : Wiley Pub., c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||