Advances in engineering education |
Pubbl/distr/stampa | Washington, DC, : American Society for Engineering Education |
Descrizione fisica | 1 online resource |
Disciplina | 607 |
Soggetto topico | Engineering - Study and teaching (Higher) |
Soggetto genere / forma | Periodicals. |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti | AEE |
Record Nr. | UNISA-996204254803316 |
Washington, DC, : American Society for Engineering Education | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in engineering education |
Pubbl/distr/stampa | Washington, DC, : American Society for Engineering Education |
Descrizione fisica | 1 online resource |
Disciplina | 607 |
Soggetto topico | Engineering - Study and teaching (Higher) |
Soggetto genere / forma | Periodicals. |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti | AEE |
Record Nr. | UNINA-9910144998803321 |
Washington, DC, : American Society for Engineering Education | ||
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Lo trovi qui: Univ. Federico II | ||
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L'année scientifique et industrielle, ou Exposé annuel des travaux scientifiques, des inventions et des principales applications de la science à l'industrie et aux arts, qui ont attiré l'attention publique en France et à l'étranger / par Louis Figuier |
Autore | Figuier, Louis |
Pubbl/distr/stampa | Paris : Librairie Hachette et C.ie |
Descrizione fisica | v. ; 18 cm |
Disciplina | 607 |
Soggetto topico | Francia - Esposizioni |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | fre |
Nota di contenuto |
24.: Vingt-quatrième ann[e : 1880. - 1881. 580, 4 p., [1] c. di tav. : ill.
38.: Trente-huitieme année : 1894. - 1895. XII, 616 p. : [1] c. di tav. : ill. |
Record Nr. | UNISALENTO-991004307737207536 |
Figuier, Louis
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Paris : Librairie Hachette et C.ie | ||
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Lo trovi qui: Univ. del Salento | ||
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Application of Statistics to Industrial Experimentation / Cuthbert Daniel |
Autore | Daniel, Cuthbert |
Pubbl/distr/stampa | New York : John Wiley, 1976 |
Descrizione fisica | XVI, 294 p. ; 23 cm |
Disciplina | 607 |
Soggetto non controllato | Pianificazioni di indagini, Piano degli esperimenti |
ISBN | 0471194697 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990002527010403321 |
Daniel, Cuthbert
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New York : John Wiley, 1976 | ||
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Lo trovi qui: Univ. Federico II | ||
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Applications of Statistics to Industrial Experimentation / Cuthbert Daniel |
Autore | Daniel, Cuthbert |
Pubbl/distr/stampa | New York : Wiley, 1976 |
Descrizione fisica | XVI,294 p. ; 24 cm |
Disciplina | 607 |
Collana | Wiley series in probability and mathematical statistics |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNINA-990000278840403321 |
Daniel, Cuthbert | ||
New York : Wiley, 1976 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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||
New York, : Wiley, c1976 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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||
New York, : Wiley, c1976 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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||
New York, : Wiley, c1976 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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
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New York, : Wiley, c1976 | ||
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Lo trovi qui: Univ. Federico II | ||
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An assessment of the National Institute of Standards and Technology measurement and standards laboratories [[electronic resource] ] : fiscal years 2004-2005 / / Board on Assessment of NIST Programs, Division on Engineering and Physical Sciences, National Research Council of the National Academies |
Pubbl/distr/stampa | Washington, D.C., : National Academy Press, c2005 |
Descrizione fisica | 1 online resource (135 p.) |
Disciplina | 607 |
Soggetto topico | Weights and measures |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-28648-2
9786610286485 0-309-65435-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""Front Matter""; ""Preface""; ""Acknowledgment of Reviewers""; ""Contents""; ""Synopsis of the 2004-2005 Assessment""; ""1 Institutional Assessment""; ""2 Building and Fire Research Laboratory""; ""3 Chemical Science and Technology Laboratory""; ""4 Electronics and Electrical Engineering Laboratory""; ""5 Information Technology Laboratory""; ""6 Manufacturing Engineering Laboratory""; ""7 Materials Science and Engineering Laboratory""; ""8 Physics Laboratory""; ""References""; ""Appendixes""; ""A NIST Organizational Structure and Staffing Trends""
""B Biographical Sketches of Board and Staff Members and Panel Rosters""""C Acronyms and Abbreviations"" |
Record Nr. | UNINA-9910449840503321 |
Washington, D.C., : National Academy Press, c2005 | ||
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Lo trovi qui: Univ. Federico II | ||
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