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Adaptive designs : selected proceedings of a 1992 joint AMS-IMS-SIAM summer conference / / Nancy Flournoy and William F. Rosenberger, editors [[electronic resource]]
Adaptive designs : selected proceedings of a 1992 joint AMS-IMS-SIAM summer conference / / Nancy Flournoy and William F. Rosenberger, editors [[electronic resource]]
Autore Flournoy Nancy
Pubbl/distr/stampa Hayward, Calif., : Institute of Mathematical Statistics, c1995
Descrizione fisica 1 online resource (viii, 288 p. ) : ill. ;
Disciplina 519.5/38
Altri autori (Persone) FlournoyNancy <1947->
RosenbergerWilliam F
Collana Institute of Mathematical Statistics lecture notes-monograph series
Soggetto topico Experimental design
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910482887403321
Flournoy Nancy  
Hayward, Calif., : Institute of Mathematical Statistics, c1995
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adaptive designs : selected proceedings of a 1992 joint AMS-IMS-SIAM summer conference / / Nancy Flournoy and William F. Rosenberger, editors [[electronic resource]]
Adaptive designs : selected proceedings of a 1992 joint AMS-IMS-SIAM summer conference / / Nancy Flournoy and William F. Rosenberger, editors [[electronic resource]]
Autore Flournoy Nancy
Pubbl/distr/stampa Hayward, Calif., : Institute of Mathematical Statistics, c1995
Descrizione fisica 1 online resource (viii, 288 p. ) : ill. ;
Disciplina 519.5/38
Altri autori (Persone) FlournoyNancy <1947->
RosenbergerWilliam F
Collana Institute of Mathematical Statistics lecture notes-monograph series
Soggetto topico Experimental design
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996210821303316
Flournoy Nancy  
Hayward, Calif., : Institute of Mathematical Statistics, c1995
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Analysis of messy data . Volume II Nonreplicated experiments / / George A. Milliken, Dallas E. Johnson
Analysis of messy data . Volume II Nonreplicated experiments / / George A. Milliken, Dallas E. Johnson
Autore Milliken George A. <1943->
Pubbl/distr/stampa Boca Raton : , : Chapman & Hall/CRC, , 2017
Descrizione fisica 1 online resource (205 pages)
Disciplina 519.538
Soggetto topico Analysis of variance
Experimental design
ISBN 1-315-17219-4
1-351-69712-9
1-351-69713-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910157800303321
Milliken George A. <1943->  
Boca Raton : , : Chapman & Hall/CRC, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analysis of variance and functional measurement : a practical guide / / David J. Weiss
Analysis of variance and functional measurement : a practical guide / / David J. Weiss
Autore Weiss David J.
Pubbl/distr/stampa Oxford, England : , : Oxford University Press, , 2006
Descrizione fisica 1 online resource (278 p.)
Disciplina 519.5/38
Soggetto topico Analysis of variance
Experimental design
Soggetto genere / forma Electronic books.
ISBN 1-280-42863-5
0-19-534605-X
1-4237-6206-1
1-60256-570-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto One-way ANOVA -- Using the computer -- Factorial structure -- Two-way ANOVA -- Multi-factor designs -- Error purifying designs -- Specific comparisons -- Measurement issues -- Strength of effect -- Nested designs -- Missing data -- Confounded designs -- Introduction to functional measurement.
Record Nr. UNINA-9910457522203321
Weiss David J.  
Oxford, England : , : Oxford University Press, , 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analysis of variance and functional measurement : a practical guide / / David J. Weiss
Analysis of variance and functional measurement : a practical guide / / David J. Weiss
Autore Weiss David J.
Pubbl/distr/stampa Oxford, England : , : Oxford University Press, , 2006
Descrizione fisica 1 online resource (278 p.)
Disciplina 519.5/38
Soggetto topico Analysis of variance
Experimental design
ISBN 0-19-773462-6
1-280-42863-5
0-19-534605-X
1-4237-6206-1
1-60256-570-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto One-way ANOVA -- Using the computer -- Factorial structure -- Two-way ANOVA -- Multi-factor designs -- Error purifying designs -- Specific comparisons -- Measurement issues -- Strength of effect -- Nested designs -- Missing data -- Confounded designs -- Introduction to functional measurement.
Record Nr. UNINA-9910784575703321
Weiss David J.  
Oxford, England : , : Oxford University Press, , 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analysis of variance and functional measurement : a practical guide / / David J. Weiss
Analysis of variance and functional measurement : a practical guide / / David J. Weiss
Autore Weiss David J.
Pubbl/distr/stampa Oxford, England : , : Oxford University Press, , 2006
Descrizione fisica 1 online resource (278 p.)
Disciplina 519.5/38
Soggetto topico Analysis of variance
Experimental design
ISBN 0-19-773462-6
1-280-42863-5
0-19-534605-X
1-4237-6206-1
1-60256-570-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto One-way ANOVA -- Using the computer -- Factorial structure -- Two-way ANOVA -- Multi-factor designs -- Error purifying designs -- Specific comparisons -- Measurement issues -- Strength of effect -- Nested designs -- Missing data -- Confounded designs -- Introduction to functional measurement.
Record Nr. UNINA-9910817267303321
Weiss David J.  
Oxford, England : , : Oxford University Press, , 2006
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