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Applications of statistics to industrial experimentation / Cuthbert Daniel
| Applications of statistics to industrial experimentation / Cuthbert Daniel |
| Autore | DANIEL, Cuthbert |
| Pubbl/distr/stampa | New York : John Wiley & Sons, 1976. 292 p. : graf. ; 24 cm. |
| Disciplina | 607.2(Ricerca industriale) |
| Soggetto topico |
Disegno industriale
Ricerca industriale - Metodi statistici |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990005443770203316 |
DANIEL, Cuthbert
|
||
| New York : John Wiley & Sons, 1976. 292 p. : graf. ; 24 cm. | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of statistics to industrial experimentation [[electronic resource] /] / Cuthbert Daniel
| Applications of statistics to industrial experimentation [[electronic resource] /] / Cuthbert Daniel |
| Autore | Daniel Cuthbert |
| Pubbl/distr/stampa | New York, : Wiley, c1976 |
| Descrizione fisica | 1 online resource (321 p.) |
| Disciplina |
607
607.2 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Experimental design
Research, Industrial - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-30727-4
9786612307270 0-470-31646-2 0-470-31717-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
APPLICATIONS OF STATISTICS TO INDUSTRIAL EXPERIMENTATION; Preface; Acknowledgments; Contents; Chapter 1 Introduction; 1.1 The range of industrial research; 1.2 Scientific methods; 1.3 Making each piece of data work twice; 1.4 First stages in planning industrial experiments; 1.5 Statistical background required; 1.6 Doing the arithmetic; 1.7 Sequences of experiments; 1.8 The future of "industrial" designs; Chapter 2 Simple Comparison Experiments; 2.1 An example; 2.2 The effect of a Factor?; Chapter 3 Two Factors, Each at Two Levels; 3.1. Introduction; 3.2 Factorial representations
3.3 Yates's algorithm for effects in the 223.4 Interpretation of a factorial experiment when interactions are present; 3.5 Intermediate summary; 3.6 The replicated22; 3.6.1 General remarks on replication; 3.6.2 Limitations of randomization; 3.6.3 When is randomization useful?; 3.6.4 An example; 3.7 Summary; Appendix 3.A The analysis of variance identities; Chapter 4 Two Factors, Each at Three Levels; 4.1 Introduction; 4.2 Both factors have numerically scaled levels,; 4.3 Standard computations in a 32; 4.4 One-cell interaction; 4.5 Simpler interpretation of ALBQ, AQBL and AQBQ 4.6 Tukey's test for multiplicative nonadditivity4.7 An eyeball test for interaction; 4.8 What is the answer? (What is the question?); 4.9 An unreplicated 32 on air-pollution data; 4.10 The 32 with both factors discontinuous; 4.11 The 32 with one factor continuous, one discrete-leveled; 4.12 Summary; Appendix 4.A Critical values of the maximum normed residual (MNR); Chapter 5 Unrepticated Three-Factor, Two-Level Experiments; 5.1 When to use the 23; 5.2 A real 23; 5.3 Yates's table of signs; 5.4 Yates's algorithm for the 23; 5.5 First interpretation of the 23; 5.6 Reverse Yatcs's algorithm 5.7 Interpretation with one factor discontinuous5.8 Representation when two factors are continuous; 5.9 Contours of standard error of fitted Y; 5.10 A numerical check for Yates's 2P-aIgorithm; 5.11 Interpretation of the 23; 5.12 One bad value in a 23+o; 5.13 Blocking the 23; 5.14 Summary; Appendix 5.A The variance of linear functions of uncorrelated random variables; Chapter 6 Unreplicated Four-Factor, Two-Level Experiments; 6.1 Introduction; 6.2 The first computations; 6.3 Interpretation of the first computations; 6.3.1 The empirical cumulative distribution of the residuals 6.3.2 The dy versus Y plot6.4 Looking for simple models; 6.5 A note on rounding in Yates's algorithm; 6.6 Snares (and delusions); Appendix 6.A Forty empirical cumulation distributions, independent standard normal deviates; Chapter 7 Three Five-Factor, Two-Level Unreplicated Experiments; 7.1 Introduction; 7.2 Yates's 25 on beans; 7.2.1 Description; 7.2.2 Standard computations; 7.2.3 Residuals in place; 7.2.4 Dropping the factorial representation; 7.2.5 A common result: IAl = IBI = IABl; 7.3 Davies' 25 on penicillin; 7.3.1 Description; 7.3.2 When to log; 7.3.3 A bad value 7.3.4 Effects of factors on residuals |
| Record Nr. | UNINA-9910139987103321 |
|
Daniel Cuthbert
|
||
| New York, : Wiley, c1976 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of statistics to industrial experimentation [[electronic resource] /] / Cuthbert Daniel
| Applications of statistics to industrial experimentation [[electronic resource] /] / Cuthbert Daniel |
| Autore | Daniel Cuthbert |
| Pubbl/distr/stampa | New York, : Wiley, c1976 |
| Descrizione fisica | 1 online resource (321 p.) |
| Disciplina |
607
607.2 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Experimental design
Research, Industrial - Statistical methods |
| ISBN |
1-282-30727-4
9786612307270 0-470-31646-2 0-470-31717-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
APPLICATIONS OF STATISTICS TO INDUSTRIAL EXPERIMENTATION; Preface; Acknowledgments; Contents; Chapter 1 Introduction; 1.1 The range of industrial research; 1.2 Scientific methods; 1.3 Making each piece of data work twice; 1.4 First stages in planning industrial experiments; 1.5 Statistical background required; 1.6 Doing the arithmetic; 1.7 Sequences of experiments; 1.8 The future of "industrial" designs; Chapter 2 Simple Comparison Experiments; 2.1 An example; 2.2 The effect of a Factor?; Chapter 3 Two Factors, Each at Two Levels; 3.1. Introduction; 3.2 Factorial representations
3.3 Yates's algorithm for effects in the 223.4 Interpretation of a factorial experiment when interactions are present; 3.5 Intermediate summary; 3.6 The replicated22; 3.6.1 General remarks on replication; 3.6.2 Limitations of randomization; 3.6.3 When is randomization useful?; 3.6.4 An example; 3.7 Summary; Appendix 3.A The analysis of variance identities; Chapter 4 Two Factors, Each at Three Levels; 4.1 Introduction; 4.2 Both factors have numerically scaled levels,; 4.3 Standard computations in a 32; 4.4 One-cell interaction; 4.5 Simpler interpretation of ALBQ, AQBL and AQBQ 4.6 Tukey's test for multiplicative nonadditivity4.7 An eyeball test for interaction; 4.8 What is the answer? (What is the question?); 4.9 An unreplicated 32 on air-pollution data; 4.10 The 32 with both factors discontinuous; 4.11 The 32 with one factor continuous, one discrete-leveled; 4.12 Summary; Appendix 4.A Critical values of the maximum normed residual (MNR); Chapter 5 Unrepticated Three-Factor, Two-Level Experiments; 5.1 When to use the 23; 5.2 A real 23; 5.3 Yates's table of signs; 5.4 Yates's algorithm for the 23; 5.5 First interpretation of the 23; 5.6 Reverse Yatcs's algorithm 5.7 Interpretation with one factor discontinuous5.8 Representation when two factors are continuous; 5.9 Contours of standard error of fitted Y; 5.10 A numerical check for Yates's 2P-aIgorithm; 5.11 Interpretation of the 23; 5.12 One bad value in a 23+o; 5.13 Blocking the 23; 5.14 Summary; Appendix 5.A The variance of linear functions of uncorrelated random variables; Chapter 6 Unreplicated Four-Factor, Two-Level Experiments; 6.1 Introduction; 6.2 The first computations; 6.3 Interpretation of the first computations; 6.3.1 The empirical cumulative distribution of the residuals 6.3.2 The dy versus Y plot6.4 Looking for simple models; 6.5 A note on rounding in Yates's algorithm; 6.6 Snares (and delusions); Appendix 6.A Forty empirical cumulation distributions, independent standard normal deviates; Chapter 7 Three Five-Factor, Two-Level Unreplicated Experiments; 7.1 Introduction; 7.2 Yates's 25 on beans; 7.2.1 Description; 7.2.2 Standard computations; 7.2.3 Residuals in place; 7.2.4 Dropping the factorial representation; 7.2.5 A common result: IAl = IBI = IABl; 7.3 Davies' 25 on penicillin; 7.3.1 Description; 7.3.2 When to log; 7.3.3 A bad value 7.3.4 Effects of factors on residuals |
| Record Nr. | UNINA-9910642684703321 |
|
Daniel Cuthbert
|
||
| New York, : Wiley, c1976 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of statistics to industrial experimentation [[electronic resource] /] / Cuthbert Daniel
| Applications of statistics to industrial experimentation [[electronic resource] /] / Cuthbert Daniel |
| Autore | Daniel Cuthbert |
| Pubbl/distr/stampa | New York, : Wiley, c1976 |
| Descrizione fisica | 1 online resource (321 p.) |
| Disciplina |
607
607.2 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Experimental design
Research, Industrial - Statistical methods |
| ISBN |
1-282-30727-4
9786612307270 0-470-31646-2 0-470-31717-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
APPLICATIONS OF STATISTICS TO INDUSTRIAL EXPERIMENTATION; Preface; Acknowledgments; Contents; Chapter 1 Introduction; 1.1 The range of industrial research; 1.2 Scientific methods; 1.3 Making each piece of data work twice; 1.4 First stages in planning industrial experiments; 1.5 Statistical background required; 1.6 Doing the arithmetic; 1.7 Sequences of experiments; 1.8 The future of "industrial" designs; Chapter 2 Simple Comparison Experiments; 2.1 An example; 2.2 The effect of a Factor?; Chapter 3 Two Factors, Each at Two Levels; 3.1. Introduction; 3.2 Factorial representations
3.3 Yates's algorithm for effects in the 223.4 Interpretation of a factorial experiment when interactions are present; 3.5 Intermediate summary; 3.6 The replicated22; 3.6.1 General remarks on replication; 3.6.2 Limitations of randomization; 3.6.3 When is randomization useful?; 3.6.4 An example; 3.7 Summary; Appendix 3.A The analysis of variance identities; Chapter 4 Two Factors, Each at Three Levels; 4.1 Introduction; 4.2 Both factors have numerically scaled levels,; 4.3 Standard computations in a 32; 4.4 One-cell interaction; 4.5 Simpler interpretation of ALBQ, AQBL and AQBQ 4.6 Tukey's test for multiplicative nonadditivity4.7 An eyeball test for interaction; 4.8 What is the answer? (What is the question?); 4.9 An unreplicated 32 on air-pollution data; 4.10 The 32 with both factors discontinuous; 4.11 The 32 with one factor continuous, one discrete-leveled; 4.12 Summary; Appendix 4.A Critical values of the maximum normed residual (MNR); Chapter 5 Unrepticated Three-Factor, Two-Level Experiments; 5.1 When to use the 23; 5.2 A real 23; 5.3 Yates's table of signs; 5.4 Yates's algorithm for the 23; 5.5 First interpretation of the 23; 5.6 Reverse Yatcs's algorithm 5.7 Interpretation with one factor discontinuous5.8 Representation when two factors are continuous; 5.9 Contours of standard error of fitted Y; 5.10 A numerical check for Yates's 2P-aIgorithm; 5.11 Interpretation of the 23; 5.12 One bad value in a 23+o; 5.13 Blocking the 23; 5.14 Summary; Appendix 5.A The variance of linear functions of uncorrelated random variables; Chapter 6 Unreplicated Four-Factor, Two-Level Experiments; 6.1 Introduction; 6.2 The first computations; 6.3 Interpretation of the first computations; 6.3.1 The empirical cumulative distribution of the residuals 6.3.2 The dy versus Y plot6.4 Looking for simple models; 6.5 A note on rounding in Yates's algorithm; 6.6 Snares (and delusions); Appendix 6.A Forty empirical cumulation distributions, independent standard normal deviates; Chapter 7 Three Five-Factor, Two-Level Unreplicated Experiments; 7.1 Introduction; 7.2 Yates's 25 on beans; 7.2.1 Description; 7.2.2 Standard computations; 7.2.3 Residuals in place; 7.2.4 Dropping the factorial representation; 7.2.5 A common result: IAl = IBI = IABl; 7.3 Davies' 25 on penicillin; 7.3.1 Description; 7.3.2 When to log; 7.3.3 A bad value 7.3.4 Effects of factors on residuals |
| Record Nr. | UNINA-9910830569203321 |
|
Daniel Cuthbert
|
||
| New York, : Wiley, c1976 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of statistics to industrial experimentation / / Cuthbert Daniel
| Applications of statistics to industrial experimentation / / Cuthbert Daniel |
| Autore | Daniel Cuthbert |
| Pubbl/distr/stampa | New York, : Wiley, c1976 |
| Descrizione fisica | 1 online resource (321 p.) |
| Disciplina |
607
607.2 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Experimental design
Research, Industrial - Statistical methods |
| ISBN |
1-282-30727-4
9786612307270 0-470-31646-2 0-470-31717-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
APPLICATIONS OF STATISTICS TO INDUSTRIAL EXPERIMENTATION; Preface; Acknowledgments; Contents; Chapter 1 Introduction; 1.1 The range of industrial research; 1.2 Scientific methods; 1.3 Making each piece of data work twice; 1.4 First stages in planning industrial experiments; 1.5 Statistical background required; 1.6 Doing the arithmetic; 1.7 Sequences of experiments; 1.8 The future of "industrial" designs; Chapter 2 Simple Comparison Experiments; 2.1 An example; 2.2 The effect of a Factor?; Chapter 3 Two Factors, Each at Two Levels; 3.1. Introduction; 3.2 Factorial representations
3.3 Yates's algorithm for effects in the 223.4 Interpretation of a factorial experiment when interactions are present; 3.5 Intermediate summary; 3.6 The replicated22; 3.6.1 General remarks on replication; 3.6.2 Limitations of randomization; 3.6.3 When is randomization useful?; 3.6.4 An example; 3.7 Summary; Appendix 3.A The analysis of variance identities; Chapter 4 Two Factors, Each at Three Levels; 4.1 Introduction; 4.2 Both factors have numerically scaled levels,; 4.3 Standard computations in a 32; 4.4 One-cell interaction; 4.5 Simpler interpretation of ALBQ, AQBL and AQBQ 4.6 Tukey's test for multiplicative nonadditivity4.7 An eyeball test for interaction; 4.8 What is the answer? (What is the question?); 4.9 An unreplicated 32 on air-pollution data; 4.10 The 32 with both factors discontinuous; 4.11 The 32 with one factor continuous, one discrete-leveled; 4.12 Summary; Appendix 4.A Critical values of the maximum normed residual (MNR); Chapter 5 Unrepticated Three-Factor, Two-Level Experiments; 5.1 When to use the 23; 5.2 A real 23; 5.3 Yates's table of signs; 5.4 Yates's algorithm for the 23; 5.5 First interpretation of the 23; 5.6 Reverse Yatcs's algorithm 5.7 Interpretation with one factor discontinuous5.8 Representation when two factors are continuous; 5.9 Contours of standard error of fitted Y; 5.10 A numerical check for Yates's 2P-aIgorithm; 5.11 Interpretation of the 23; 5.12 One bad value in a 23+o; 5.13 Blocking the 23; 5.14 Summary; Appendix 5.A The variance of linear functions of uncorrelated random variables; Chapter 6 Unreplicated Four-Factor, Two-Level Experiments; 6.1 Introduction; 6.2 The first computations; 6.3 Interpretation of the first computations; 6.3.1 The empirical cumulative distribution of the residuals 6.3.2 The dy versus Y plot6.4 Looking for simple models; 6.5 A note on rounding in Yates's algorithm; 6.6 Snares (and delusions); Appendix 6.A Forty empirical cumulation distributions, independent standard normal deviates; Chapter 7 Three Five-Factor, Two-Level Unreplicated Experiments; 7.1 Introduction; 7.2 Yates's 25 on beans; 7.2.1 Description; 7.2.2 Standard computations; 7.2.3 Residuals in place; 7.2.4 Dropping the factorial representation; 7.2.5 A common result: IAl = IBI = IABl; 7.3 Davies' 25 on penicillin; 7.3.1 Description; 7.3.2 When to log; 7.3.3 A bad value 7.3.4 Effects of factors on residuals |
| Record Nr. | UNINA-9910877292203321 |
|
Daniel Cuthbert
|
||
| New York, : Wiley, c1976 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of statistics to industrial experimentation / Cuthbert Daniel
| Applications of statistics to industrial experimentation / Cuthbert Daniel |
| Autore | Daniel, Cuthbert |
| Pubbl/distr/stampa | New York : Wiley & Sons, c1976 |
| Descrizione fisica | xvi, 294 p. ; 24 cm. |
| Disciplina |
519
607.2 |
| Soggetto topico | Ricerca industriale - Metodi statistici |
| ISBN | 0471194697 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000394499707536 |
|
Daniel, Cuthbert
|
||
| New York : Wiley & Sons, c1976 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
Centri di ricerca pubblici : guida per l'industria / a cura di CNOS - Tecnoservizi
| Centri di ricerca pubblici : guida per l'industria / a cura di CNOS - Tecnoservizi |
| Pubbl/distr/stampa | Roma, : SIPI, 1978 |
| Descrizione fisica | XII, 279 p. ; 24 cm |
| Disciplina | 607.2 |
| Soggetto non controllato | Ricerca industriale |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNINA-990001728610403321 |
| Roma, : SIPI, 1978 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cloud-Based Design and Manufacturing (CBDM) : A Service-Oriented Product Development Paradigm for the 21st Century / / edited by Dirk Schaefer
| Cloud-Based Design and Manufacturing (CBDM) : A Service-Oriented Product Development Paradigm for the 21st Century / / edited by Dirk Schaefer |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (293 p.) |
| Disciplina |
607.2
670.285 |
| Soggetto topico |
Engineering design
Manufactures Computer-aided engineering Management Industrial management Engineering Design Manufacturing, Machines, Tools, Processes Computer-Aided Engineering (CAD, CAE) and Design Innovation/Technology Management |
| ISBN | 3-319-07398-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Product Development in the Socio-sphere -- Cloud-based Design.- Cloud-based Manufacturing -- IT Infrastructures and Architectures for Cloud-based Design and Manufacturing -- Business Models and Implementation Strategies for Cloud-based Design and Manufacturing. |
| Record Nr. | UNINA-9910299750003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Economia della ricerca industriale / Giovanni Hinterhuber
| Economia della ricerca industriale / Giovanni Hinterhuber |
| Autore | Hinterhuber, Giovanni |
| Pubbl/distr/stampa | Milano : La goliardica, stampa 1969 |
| Descrizione fisica | IV, 360 p. : ill. ; 24 cm |
| Disciplina | 607.2 |
| Soggetto non controllato | Ricerca industriale |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNIPARTHENOPE-000015251 |
|
Hinterhuber, Giovanni
|
||
| Milano : La goliardica, stampa 1969 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Parthenope | ||
| ||
Fraunhofer magazine
| Fraunhofer magazine |
| Descrizione fisica | Online-Ressource |
| Disciplina | 607.2 |
| Soggetto topico |
Industrieforschung
Produktforschung |
| Soggetto genere / forma | Zeitschrift |
| ISSN | 1617-1438 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910340601103321 |
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
|
