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Response surface methodology : process and product optimization using designed experiments / / Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook
Response surface methodology : process and product optimization using designed experiments / / Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook
Autore Myers Raymond H.
Edizione [Fourth edition.]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2016
Descrizione fisica 1 online resource (855 p.)
Disciplina 519.5/7
Collana Wiley Series in Probability and Statistics
Soggetto topico Experimental design
Response surfaces (Statistics)
Soggetto genere / forma Electronic books.
ISBN 1-118-91602-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910460481003321
Myers Raymond H.  
Hoboken, New Jersey : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Response surface methodology : process and product optimization using designed experiments / / Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook
Response surface methodology : process and product optimization using designed experiments / / Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook
Autore Myers Raymond H.
Edizione [Fourth edition.]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2016
Descrizione fisica 1 online resource (855 pages) : illustrations
Disciplina 519.5/7
Collana Wiley Series in Probability and Statistics
Soggetto topico Experimental design
Response surfaces (Statistics)
ISBN 1-118-91602-6
1-118-91603-4
Classificazione 417.7
519.57
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910796092803321
Myers Raymond H.  
Hoboken, New Jersey : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Response surface methodology : process and product optimization using designed experiments / / Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook
Response surface methodology : process and product optimization using designed experiments / / Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook
Autore Myers Raymond H.
Edizione [Fourth edition.]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2016
Descrizione fisica 1 online resource (855 pages) : illustrations
Disciplina 519.5/7
Collana Wiley Series in Probability and Statistics
Soggetto topico Experimental design
Response surfaces (Statistics)
ISBN 1-118-91602-6
1-118-91603-4
Classificazione 417.7
519.57
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910819647103321
Myers Raymond H.  
Hoboken, New Jersey : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Response surface methodology : process and product optimization using designed experiments / Raymond H. Myers, Douglas C. Montgomery
Response surface methodology : process and product optimization using designed experiments / Raymond H. Myers, Douglas C. Montgomery
Autore Myers, Raymond H.
Edizione [2nd ed]
Pubbl/distr/stampa New York : J. Wiley e Sons, c2002
Descrizione fisica xv, 798 p. : ill. ; 24 cm
Disciplina 519.5
Altri autori (Persone) Montgomery, Douglas C.
Collana Wiley series in probability and statistics
Soggetto topico Experimental design
Response surfaces (Statistics)
ISBN 0471412554
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000904869707536
Myers, Raymond H.  
New York : J. Wiley e Sons, c2002
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Response Surface Methodology - Research Advances and Applications / / edited by Palanikumar Kayaroganam
Response Surface Methodology - Research Advances and Applications / / edited by Palanikumar Kayaroganam
Pubbl/distr/stampa London : , : IntechOpen, , 2023
Descrizione fisica 1 online resource (186 pages)
Disciplina 519.5
Soggetto topico Graphical modeling (Statistics)
Experimental design
ISBN 1-83880-299-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Nota di contenuto 1. Introductory Chapter: Response Surface Methodology -- 2. Application of Central Composite Design with Design Expert v13 in Process Optimization -- 3. Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization -- 4. Perspective Chapter: Cyclic Generation of Box-Behnken Designs and New Second-Order Designs -- 5. Analysis and Optimization of Bead Geometry by Using Response Surface Methodology -- 6. Analysis and Optimization of Process Parameters in Wire Electrical Discharge Machining Based on RSM: A Case Study -- 7. Optimization of Baker's Yeast Production on Grape Juice Using Response Surface Methodology -- 8. Response Surface Model Applied to Fine Arts: The Case of the Restoration of Paintings.
Record Nr. UNINA-9910727290003321
London : , : IntechOpen, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Response surfaces, mixtures, and ridge analyses [[electronic resource] /] / George E.P. Box, Norman R. Draper
Response surfaces, mixtures, and ridge analyses [[electronic resource] /] / George E.P. Box, Norman R. Draper
Autore Box George E. P
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2007
Descrizione fisica 1 online resource (873 p.)
Disciplina 519.57
Altri autori (Persone) DraperNorman Richard
Collana Wiley Series in Probability and Statistics
Soggetto topico Experimental design
Response surfaces (Statistics)
Mixture distributions (Probability theory)
Ridge regression (Statistics)
Soggetto genere / forma Electronic books.
ISBN 1-282-24228-8
9786613813404
0-470-07276-8
0-470-07275-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Response Surfaces, Mixtures, and Ridge Analyses; Contents; Preface to the Second Edition; 1. Introduction to Response Surface Methodology; 1.1. Response Surface Methodology (RSM); 1.2. Indeterminancy of Experimentation; 1.3. Iterative Nature of the Experimental Learning Process; 1.4. Some Classes of Problems (Which, How, Why); 1.5. Need for Experimental Design; 1.6. Geometric Representation of Response Relationships; 1.7. Three Kinds of Applications; 2. The Use Of Graduating Functions; 2.1. Approximating Response Functions; 2.2. An Example; Appendix 2A. A Theoretical Response Function
3. Least Squares for Response Surface Work3.1. The Method of Least Squares; 3.2. Linear Models; 3.3. Matrix Formulas for Least Squares; 3.4. Geometry of Least Squares; 3.5. Analysis of Variance for One Regressor; 3.6. Least Squares for Two Regressors; 3.7. Geometry of the Analysis of Variance for Two Regressors; 3.8. Orthogonalizing the Second Regressor, Extra Sum of Squares Principle; 3.9. Generalization to p Regressors; 3.10. Bias in Least-Squares Estimators Arising from an Inadequate Model; 3.11. Pure Error and Lack of Fit; 3.12. Confidence Intervals and Confidence Regions
3.13. Robust Estimation, Maximum Likelihood, and Least SquaresAppendix 3A. Iteratively Reweighted Least Squares; Appendix 3B. Justification of Least Squares by the Gauss-Markov Theorem; Robustness; Appendix 3C. Matrix Theory; Appendix 3D. Nonlinear Estimation; Appendix 3E. Results Involving V(y); Exercises; 4. Factorial Designs at Two Levels; 4.1. The Value of Factorial Designs; 4.2. Two-Level Factorials; 4.3. A 2(6) Design Used in a Study of Dyestuffs Manufacture; 4.4. Diagnostic Checking of the Fitted Models, 2(6) Dyestuffs Example; 4.5. Response Surface Analysis of the 2(6) Design Data
Appendix 4A. Yates' Method for Obtaining the Factorial Effects for a Two-Level DesignAppendix 4B. Normal Plots on Probability Paper; Appendix 4C. Confidence Regions for Contour Planes (see Section 4.5); Exercises; 5. Blocking and Fractionating 2(k) Factorial Designs; 5.1. Blocking the 2(6) Design; 5.2. Fractionating the 2(6) Design; 5.3. Resolution of a 2(k-p) Factorial Design; 5.4. Construction of 2(k-p) Designs of Resolution III and IV; 5.5. Combination of Designs from the Same Family; 5.6. Screening, Using 2(k-p) Designs (Involving Projections to Lower Dimensions)
5.7. Complete Factorials Within Fractional Factorial Designs5.8. Plackett and Burman Designs for n = 12 to 60 (but not 52); 5.9. Screening, Using Plackett and Burman Designs (Involving Projections to Lower Dimensions); 5.10. Efficient Estimation of Main Effects and Two-Factor Interactions Using Relatively Small Two-Level Designs; 5.11. Designs of Resolution V and of Higher Resolution; 5.12. Application of Fractional Factorial Designs to Response Surface Methodology; 5.13. Plotting Effects from Fractional Factorials on Probability Paper; Exercises
6. The Use of Steepest Ascent to Achieve Process Improvement
Record Nr. UNINA-9910143691403321
Box George E. P  
Hoboken, N.J., : John Wiley, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Response surfaces, mixtures, and ridge analyses [[electronic resource] /] / George E.P. Box, Norman R. Draper
Response surfaces, mixtures, and ridge analyses [[electronic resource] /] / George E.P. Box, Norman R. Draper
Autore Box George E. P
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2007
Descrizione fisica 1 online resource (873 p.)
Disciplina 519.57
Altri autori (Persone) DraperNorman Richard
Collana Wiley Series in Probability and Statistics
Soggetto topico Experimental design
Response surfaces (Statistics)
Mixture distributions (Probability theory)
Ridge regression (Statistics)
ISBN 1-282-24228-8
9786613813404
0-470-07276-8
0-470-07275-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Response Surfaces, Mixtures, and Ridge Analyses; Contents; Preface to the Second Edition; 1. Introduction to Response Surface Methodology; 1.1. Response Surface Methodology (RSM); 1.2. Indeterminancy of Experimentation; 1.3. Iterative Nature of the Experimental Learning Process; 1.4. Some Classes of Problems (Which, How, Why); 1.5. Need for Experimental Design; 1.6. Geometric Representation of Response Relationships; 1.7. Three Kinds of Applications; 2. The Use Of Graduating Functions; 2.1. Approximating Response Functions; 2.2. An Example; Appendix 2A. A Theoretical Response Function
3. Least Squares for Response Surface Work3.1. The Method of Least Squares; 3.2. Linear Models; 3.3. Matrix Formulas for Least Squares; 3.4. Geometry of Least Squares; 3.5. Analysis of Variance for One Regressor; 3.6. Least Squares for Two Regressors; 3.7. Geometry of the Analysis of Variance for Two Regressors; 3.8. Orthogonalizing the Second Regressor, Extra Sum of Squares Principle; 3.9. Generalization to p Regressors; 3.10. Bias in Least-Squares Estimators Arising from an Inadequate Model; 3.11. Pure Error and Lack of Fit; 3.12. Confidence Intervals and Confidence Regions
3.13. Robust Estimation, Maximum Likelihood, and Least SquaresAppendix 3A. Iteratively Reweighted Least Squares; Appendix 3B. Justification of Least Squares by the Gauss-Markov Theorem; Robustness; Appendix 3C. Matrix Theory; Appendix 3D. Nonlinear Estimation; Appendix 3E. Results Involving V(y); Exercises; 4. Factorial Designs at Two Levels; 4.1. The Value of Factorial Designs; 4.2. Two-Level Factorials; 4.3. A 2(6) Design Used in a Study of Dyestuffs Manufacture; 4.4. Diagnostic Checking of the Fitted Models, 2(6) Dyestuffs Example; 4.5. Response Surface Analysis of the 2(6) Design Data
Appendix 4A. Yates' Method for Obtaining the Factorial Effects for a Two-Level DesignAppendix 4B. Normal Plots on Probability Paper; Appendix 4C. Confidence Regions for Contour Planes (see Section 4.5); Exercises; 5. Blocking and Fractionating 2(k) Factorial Designs; 5.1. Blocking the 2(6) Design; 5.2. Fractionating the 2(6) Design; 5.3. Resolution of a 2(k-p) Factorial Design; 5.4. Construction of 2(k-p) Designs of Resolution III and IV; 5.5. Combination of Designs from the Same Family; 5.6. Screening, Using 2(k-p) Designs (Involving Projections to Lower Dimensions)
5.7. Complete Factorials Within Fractional Factorial Designs5.8. Plackett and Burman Designs for n = 12 to 60 (but not 52); 5.9. Screening, Using Plackett and Burman Designs (Involving Projections to Lower Dimensions); 5.10. Efficient Estimation of Main Effects and Two-Factor Interactions Using Relatively Small Two-Level Designs; 5.11. Designs of Resolution V and of Higher Resolution; 5.12. Application of Fractional Factorial Designs to Response Surface Methodology; 5.13. Plotting Effects from Fractional Factorials on Probability Paper; Exercises
6. The Use of Steepest Ascent to Achieve Process Improvement
Record Nr. UNINA-9910829973703321
Box George E. P  
Hoboken, N.J., : John Wiley, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Response surfaces, mixtures, and ridge analyses [[electronic resource] /] / George E.P. Box, Norman R. Draper
Response surfaces, mixtures, and ridge analyses [[electronic resource] /] / George E.P. Box, Norman R. Draper
Autore Box George E. P
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2007
Descrizione fisica 1 online resource (873 p.)
Disciplina 519.57
Altri autori (Persone) DraperNorman Richard
Collana Wiley Series in Probability and Statistics
Soggetto topico Experimental design
Response surfaces (Statistics)
Mixture distributions (Probability theory)
Ridge regression (Statistics)
ISBN 1-282-24228-8
9786613813404
0-470-07276-8
0-470-07275-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Response Surfaces, Mixtures, and Ridge Analyses; Contents; Preface to the Second Edition; 1. Introduction to Response Surface Methodology; 1.1. Response Surface Methodology (RSM); 1.2. Indeterminancy of Experimentation; 1.3. Iterative Nature of the Experimental Learning Process; 1.4. Some Classes of Problems (Which, How, Why); 1.5. Need for Experimental Design; 1.6. Geometric Representation of Response Relationships; 1.7. Three Kinds of Applications; 2. The Use Of Graduating Functions; 2.1. Approximating Response Functions; 2.2. An Example; Appendix 2A. A Theoretical Response Function
3. Least Squares for Response Surface Work3.1. The Method of Least Squares; 3.2. Linear Models; 3.3. Matrix Formulas for Least Squares; 3.4. Geometry of Least Squares; 3.5. Analysis of Variance for One Regressor; 3.6. Least Squares for Two Regressors; 3.7. Geometry of the Analysis of Variance for Two Regressors; 3.8. Orthogonalizing the Second Regressor, Extra Sum of Squares Principle; 3.9. Generalization to p Regressors; 3.10. Bias in Least-Squares Estimators Arising from an Inadequate Model; 3.11. Pure Error and Lack of Fit; 3.12. Confidence Intervals and Confidence Regions
3.13. Robust Estimation, Maximum Likelihood, and Least SquaresAppendix 3A. Iteratively Reweighted Least Squares; Appendix 3B. Justification of Least Squares by the Gauss-Markov Theorem; Robustness; Appendix 3C. Matrix Theory; Appendix 3D. Nonlinear Estimation; Appendix 3E. Results Involving V(y); Exercises; 4. Factorial Designs at Two Levels; 4.1. The Value of Factorial Designs; 4.2. Two-Level Factorials; 4.3. A 2(6) Design Used in a Study of Dyestuffs Manufacture; 4.4. Diagnostic Checking of the Fitted Models, 2(6) Dyestuffs Example; 4.5. Response Surface Analysis of the 2(6) Design Data
Appendix 4A. Yates' Method for Obtaining the Factorial Effects for a Two-Level DesignAppendix 4B. Normal Plots on Probability Paper; Appendix 4C. Confidence Regions for Contour Planes (see Section 4.5); Exercises; 5. Blocking and Fractionating 2(k) Factorial Designs; 5.1. Blocking the 2(6) Design; 5.2. Fractionating the 2(6) Design; 5.3. Resolution of a 2(k-p) Factorial Design; 5.4. Construction of 2(k-p) Designs of Resolution III and IV; 5.5. Combination of Designs from the Same Family; 5.6. Screening, Using 2(k-p) Designs (Involving Projections to Lower Dimensions)
5.7. Complete Factorials Within Fractional Factorial Designs5.8. Plackett and Burman Designs for n = 12 to 60 (but not 52); 5.9. Screening, Using Plackett and Burman Designs (Involving Projections to Lower Dimensions); 5.10. Efficient Estimation of Main Effects and Two-Factor Interactions Using Relatively Small Two-Level Designs; 5.11. Designs of Resolution V and of Higher Resolution; 5.12. Application of Fractional Factorial Designs to Response Surface Methodology; 5.13. Plotting Effects from Fractional Factorials on Probability Paper; Exercises
6. The Use of Steepest Ascent to Achieve Process Improvement
Record Nr. UNINA-9910841435403321
Box George E. P  
Hoboken, N.J., : John Wiley, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust response surfaces, regression, and positive data analyses / / Rabindra Nath Das
Robust response surfaces, regression, and positive data analyses / / Rabindra Nath Das
Autore Das Rabindra Nath
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2014]
Descrizione fisica 1 online resource (333 p.)
Disciplina 001.4/34
Soggetto topico Response surfaces (Statistics)
Experimental design
ISBN 0-429-08866-3
1-4665-0677-6
Classificazione MAT029000TEC032000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; Author; Chapter 1 - INTRODUCTION; Chapter 2 - ROBUST FIRST-ORDER DESIGNS; Chapter 3 - ROBUST SECOND-ORDER DESIGNS; Chapter 4 - ROBUST REGRESSION DESIGNS FOR NON-NORMAL DISTRIBUTIONS; Chapter 5 - WEAKLY ROBUST ROTATABLE DESIGNS; Chapter 6 - ROBUST SECOND-ORDER SLOPE ROTATABILITY; Chapter 7 - OPTIMAL ROBUST SECOND-ORDER SLOPE ROTATABLE DESIGNS; Chapter 8 - ROBUST SECOND-ORDER SLOPE-ROTATABILITY MEASURES; Chapter 9 - REGRESSION ANALYSES WITH CORRELATED ERRORS AND APPLICATIONS
Chapter 10 - POSITIVE DATA ANALYSES VIA LOG-NORMAL AND GAMMA MODELSChapter 11 - GENERAL CONCLUSIONS AND DISCUSSIONS; APPENDIX; Bibliography; Back Cover
Record Nr. UNINA-9910787851403321
Das Rabindra Nath  
Boca Raton : , : CRC Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust response surfaces, regression, and positive data analyses / / Rabindra Nath Das
Robust response surfaces, regression, and positive data analyses / / Rabindra Nath Das
Autore Das Rabindra Nath
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2014]
Descrizione fisica 1 online resource (333 p.)
Disciplina 001.4/34
Soggetto topico Response surfaces (Statistics)
Experimental design
ISBN 0-429-08866-3
1-4665-0677-6
Classificazione MAT029000TEC032000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; Author; Chapter 1 - INTRODUCTION; Chapter 2 - ROBUST FIRST-ORDER DESIGNS; Chapter 3 - ROBUST SECOND-ORDER DESIGNS; Chapter 4 - ROBUST REGRESSION DESIGNS FOR NON-NORMAL DISTRIBUTIONS; Chapter 5 - WEAKLY ROBUST ROTATABLE DESIGNS; Chapter 6 - ROBUST SECOND-ORDER SLOPE ROTATABILITY; Chapter 7 - OPTIMAL ROBUST SECOND-ORDER SLOPE ROTATABLE DESIGNS; Chapter 8 - ROBUST SECOND-ORDER SLOPE-ROTATABILITY MEASURES; Chapter 9 - REGRESSION ANALYSES WITH CORRELATED ERRORS AND APPLICATIONS
Chapter 10 - POSITIVE DATA ANALYSES VIA LOG-NORMAL AND GAMMA MODELSChapter 11 - GENERAL CONCLUSIONS AND DISCUSSIONS; APPENDIX; Bibliography; Back Cover
Record Nr. UNINA-9910809676903321
Das Rabindra Nath  
Boca Raton : , : CRC Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui