top

  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.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advances in engineering education
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
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in engineering education
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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  
Paris : Librairie Hachette et C.ie
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Application of Statistics to Industrial Experimentation / Cuthbert Daniel
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  
New York : John Wiley, 1976
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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, 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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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-9910840830803321
Daniel Cuthbert  
New York, : Wiley, c1976
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui