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Design and analysis of experiments . Volume 3 Special designs and applications [[electronic resource] /] / edited by Klaus Hinkelmann
Design and analysis of experiments . Volume 3 Special designs and applications [[electronic resource] /] / edited by Klaus Hinkelmann
Pubbl/distr/stampa Hoboken, NJ, : Wiley-Interscience, 2012
Descrizione fisica 1 online resource (596 p.)
Disciplina 001.434
532
Altri autori (Persone) HinkelmannKlaus <1932->
Collana Wiley series in probability and statistics
Soggetto topico Experimental design
Mathematical statistics
ISBN 1-283-40958-5
9786613409584
1-118-14764-2
1-118-14763-4
1-118-14766-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1.9.1 Triallel or Three-Way Crosses1.9.2 Double- or Four-Way Crosses; 1.10 COMPUTATION; ACKNOWLEDGMENTS; REFERENCES; CHAPTER 2: Design of Gene Expression Microarray Experiments; 2.1 INTRODUCTION; 2.2 GENE EXPRESSION MICROARRAY TECHNOLOGY; 2.2.1 Introduction; 2.2.2 Definition of a Microarray; 2.2.3 Using Microarrays to Measure Gene Expression; 2.2.4 Types of Gene Expression in Microarrays; 2.3 PREPROCESSING OF MICROARRAY FLUORESCENCE INTENSITIES; 2.3.1 Introduction; 2.3.2 Background Correction; 2.3.3 Normalization; 2.3.4 Summarization
2.4 INTRODUCTION TO GENE EXPRESSION MICROARRAY EXPERIMENTAL DESIGN2.5 TWO-TREATMENT EXPERIMENTS USING TWO-COLOR MICROARRAYS; 2.6 TWO-COLOR MICROARRAY EXPERIMENTS INVOLVING MORE THAN TWO TREATMENTS; 2.7 MULTIFACTOR TWO-COLOR MICROARRAY EXPERIMENTS; 2.7.1 Introduction; 2.7.2 Admissible Designs; 2.7.3 w-Optimal Designs; 2.7.4 e-Efficiency; 2.8 PHASE 2 DESIGNS FOR COMPLEX PHASE 1 DESIGNS; REFERENCES; CHAPTER 3: Spatial Analysis of Agricultural Field Experiments; 3.1 INTRODUCTION; 3.2 METHODS TO ACCOUNT FOR SPATIAL VARIATION; 3.2.1 Design of Experiments; 3.2.2 Spatial Analysis Methods
3.3 A SPATIAL LINEAR MIXED MODEL3.3.1 Estimation, Prediction and Testing; 3.3.2 The Spatial Modeling Process; 3.4 ANALYSIS OF EXAMPLES; 3.4.1 Herbicide Tolerance Trial; 3.4.2 Variety Trial; REFERENCES; CHAPTER 4: Optimal Designs for Generalized Linear Models; 4.1 INTRODUCTION; 4.2 NOTATION AND BASIC CONCEPTS; 4.2.1 Binary Data; 4.2.2 Count Data; 4.2.3 Optimality Criteria; 4.3 TOOLS FOR FINDING LOCALLY OPTIMAL DESIGNS; 4.3.1 Traditional Approaches; 4.3.2 An Analytical Approach; 4.4 GLMs WITH TWO PARAMETERS; 4.5 GLMs WITH MULTIPLE PARAMETERS; 4.5.1 GLMs with Multiple Covariates
4.5.2 GLMs with Group Effects
Record Nr. UNINA-9910141163703321
Hoboken, NJ, : Wiley-Interscience, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design of experiments for engineers and scientists / / Jiju Antony
Design of experiments for engineers and scientists / / Jiju Antony
Autore Antony Jiju
Edizione [Second edition.]
Pubbl/distr/stampa Amsterdam, [Netherlands] : , : Elsevier, , 2014
Descrizione fisica 1 online resource (221 p.)
Disciplina 001.434
Collana Elsevier Insights
Soggetto topico Experimental design
Research, Industrial
Soggetto genere / forma Electronic books.
ISBN 0-08-099419-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Design of Experiments for Engineers and Scientists; Copyright Page; Contents; Preface; Acknowledgements; 1 Introduction to Industrial Experimentation; 1.1 Introduction; 1.2 Some Fundamental and Practical Issues in Industrial Experimentation; 1.3 Statistical Thinking and its Role Within DOE; Exercises; References; 2 Fundamentals of Design of Experiments; 2.1 Introduction; 2.2 Basic Principles of DOE; 2.2.1 Randomisation; 2.2.2 Replication; 2.2.3 Blocking; 2.3 Degrees of Freedom; 2.4 Confounding; 2.4.1 Design Resolution
2.4.2 Metrology Considerations for Industrial Designed Experiments2.4.3 Measurement System Capability; 2.4.4 Some Tips for the Development of a Measurement System; 2.5 Selection of Quality Characteristics for Industrial Experiments; Exercises; References; 3 Understanding Key Interactions in Processes; 3.1 Introduction; 3.2 Alternative Method for Calculating the Two-Order Interaction Effect; 3.3 Synergistic Interaction Versus Antagonistic Interaction; 3.4 Scenario 1; 3.5 Scenario 2; 3.6 Scenario 3; Exercises; References; 4 A Systematic Methodology for Design of Experiments; 4.1 Introduction
4.2 Barriers in the Successful Application of DOE4.3 A Practical Methodology for DOE; 4.3.1 Planning Phase; Problem Recognition and Formulation; Selection of Response or Quality Characteristic; Selection of Process Variables or Design Parameters; Classification of Process Variables; Determining the Levels of Process Variables; List All the Interactions of Interest; 4.3.2 Designing Phase; 4.3.3 Conducting Phase; 4.3.4 Analysing Phase; 4.4 Analytical Tools of DOE; 4.4.1 Main Effects Plot; 4.4.2 Interactions Plots; 4.4.3 Cube Plots; 4.4.4 Pareto Plot of Factor Effects
4.4.5 NPP of Factor Effects4.4.6 NPP of Residuals; 4.4.7 Response Surface Plots and Regression Models; 4.5 Model Building for Predicting Response Function; 4.6 Confidence Interval for the Mean Response; 4.7 Statistical, Technical and Sociological Dimensions of DOE; 4.7.1 Statistical Dimension of DOE; 4.7.2 Technical Dimension of DOE; 4.7.3 Sociological and Managerial Dimensions of DOE; Exercises; References; 5 Screening Designs; 5.1 Introduction; 5.2 Geometric and Non-geometric P-B Designs; Exercises; References; 6 Full Factorial Designs; 6.1 Introduction
6.2 Example of a 22 Full Factorial Design6.2.1 Objective 1: Determination of Main/Interaction Effects That Influence Mean Plating Thickness; 6.2.2 Objective 2: Determination of Main/Interaction Effects That Influence Variability in Plating Thickness; 6.2.3 Objective 4: How to Achieve a Target Plating Thickness of 120 Units?; 6.3 Example of a 23 Full Factorial Design; 6.3.1 Objective 1: To Identify the Significant Main/Interaction Effects That Affect the Process Yield; 6.3.2 Objective 2: To Identify the Significant Main/Interaction Effects That Affect the Variability in Process Yield
6.3.3 Objective 3: What Is the Optimal Process Condition?
Record Nr. UNINA-9910464164803321
Antony Jiju  
Amsterdam, [Netherlands] : , : Elsevier, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design of experiments for engineers and scientists / / Jiju Antony
Design of experiments for engineers and scientists / / Jiju Antony
Autore Antony Jiju
Edizione [Second edition.]
Pubbl/distr/stampa Amsterdam, [Netherlands] : , : Elsevier, , 2014
Descrizione fisica 1 online resource (221 p.)
Disciplina 001.434
Collana Elsevier Insights
Soggetto topico Experimental design
Research, Industrial
ISBN 0-08-099419-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Design of Experiments for Engineers and Scientists; Copyright Page; Contents; Preface; Acknowledgements; 1 Introduction to Industrial Experimentation; 1.1 Introduction; 1.2 Some Fundamental and Practical Issues in Industrial Experimentation; 1.3 Statistical Thinking and its Role Within DOE; Exercises; References; 2 Fundamentals of Design of Experiments; 2.1 Introduction; 2.2 Basic Principles of DOE; 2.2.1 Randomisation; 2.2.2 Replication; 2.2.3 Blocking; 2.3 Degrees of Freedom; 2.4 Confounding; 2.4.1 Design Resolution
2.4.2 Metrology Considerations for Industrial Designed Experiments2.4.3 Measurement System Capability; 2.4.4 Some Tips for the Development of a Measurement System; 2.5 Selection of Quality Characteristics for Industrial Experiments; Exercises; References; 3 Understanding Key Interactions in Processes; 3.1 Introduction; 3.2 Alternative Method for Calculating the Two-Order Interaction Effect; 3.3 Synergistic Interaction Versus Antagonistic Interaction; 3.4 Scenario 1; 3.5 Scenario 2; 3.6 Scenario 3; Exercises; References; 4 A Systematic Methodology for Design of Experiments; 4.1 Introduction
4.2 Barriers in the Successful Application of DOE4.3 A Practical Methodology for DOE; 4.3.1 Planning Phase; Problem Recognition and Formulation; Selection of Response or Quality Characteristic; Selection of Process Variables or Design Parameters; Classification of Process Variables; Determining the Levels of Process Variables; List All the Interactions of Interest; 4.3.2 Designing Phase; 4.3.3 Conducting Phase; 4.3.4 Analysing Phase; 4.4 Analytical Tools of DOE; 4.4.1 Main Effects Plot; 4.4.2 Interactions Plots; 4.4.3 Cube Plots; 4.4.4 Pareto Plot of Factor Effects
4.4.5 NPP of Factor Effects4.4.6 NPP of Residuals; 4.4.7 Response Surface Plots and Regression Models; 4.5 Model Building for Predicting Response Function; 4.6 Confidence Interval for the Mean Response; 4.7 Statistical, Technical and Sociological Dimensions of DOE; 4.7.1 Statistical Dimension of DOE; 4.7.2 Technical Dimension of DOE; 4.7.3 Sociological and Managerial Dimensions of DOE; Exercises; References; 5 Screening Designs; 5.1 Introduction; 5.2 Geometric and Non-geometric P-B Designs; Exercises; References; 6 Full Factorial Designs; 6.1 Introduction
6.2 Example of a 22 Full Factorial Design6.2.1 Objective 1: Determination of Main/Interaction Effects That Influence Mean Plating Thickness; 6.2.2 Objective 2: Determination of Main/Interaction Effects That Influence Variability in Plating Thickness; 6.2.3 Objective 4: How to Achieve a Target Plating Thickness of 120 Units?; 6.3 Example of a 23 Full Factorial Design; 6.3.1 Objective 1: To Identify the Significant Main/Interaction Effects That Affect the Process Yield; 6.3.2 Objective 2: To Identify the Significant Main/Interaction Effects That Affect the Variability in Process Yield
6.3.3 Objective 3: What Is the Optimal Process Condition?
Record Nr. UNINA-9910789389903321
Antony Jiju  
Amsterdam, [Netherlands] : , : Elsevier, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design of experiments for engineers and scientists / / Jiju Antony
Design of experiments for engineers and scientists / / Jiju Antony
Autore Antony Jiju
Edizione [Second edition.]
Pubbl/distr/stampa Amsterdam, [Netherlands] : , : Elsevier, , 2014
Descrizione fisica 1 online resource (221 p.)
Disciplina 001.434
Collana Elsevier Insights
Soggetto topico Experimental design
Research, Industrial
ISBN 0-08-099419-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Design of Experiments for Engineers and Scientists; Copyright Page; Contents; Preface; Acknowledgements; 1 Introduction to Industrial Experimentation; 1.1 Introduction; 1.2 Some Fundamental and Practical Issues in Industrial Experimentation; 1.3 Statistical Thinking and its Role Within DOE; Exercises; References; 2 Fundamentals of Design of Experiments; 2.1 Introduction; 2.2 Basic Principles of DOE; 2.2.1 Randomisation; 2.2.2 Replication; 2.2.3 Blocking; 2.3 Degrees of Freedom; 2.4 Confounding; 2.4.1 Design Resolution
2.4.2 Metrology Considerations for Industrial Designed Experiments2.4.3 Measurement System Capability; 2.4.4 Some Tips for the Development of a Measurement System; 2.5 Selection of Quality Characteristics for Industrial Experiments; Exercises; References; 3 Understanding Key Interactions in Processes; 3.1 Introduction; 3.2 Alternative Method for Calculating the Two-Order Interaction Effect; 3.3 Synergistic Interaction Versus Antagonistic Interaction; 3.4 Scenario 1; 3.5 Scenario 2; 3.6 Scenario 3; Exercises; References; 4 A Systematic Methodology for Design of Experiments; 4.1 Introduction
4.2 Barriers in the Successful Application of DOE4.3 A Practical Methodology for DOE; 4.3.1 Planning Phase; Problem Recognition and Formulation; Selection of Response or Quality Characteristic; Selection of Process Variables or Design Parameters; Classification of Process Variables; Determining the Levels of Process Variables; List All the Interactions of Interest; 4.3.2 Designing Phase; 4.3.3 Conducting Phase; 4.3.4 Analysing Phase; 4.4 Analytical Tools of DOE; 4.4.1 Main Effects Plot; 4.4.2 Interactions Plots; 4.4.3 Cube Plots; 4.4.4 Pareto Plot of Factor Effects
4.4.5 NPP of Factor Effects4.4.6 NPP of Residuals; 4.4.7 Response Surface Plots and Regression Models; 4.5 Model Building for Predicting Response Function; 4.6 Confidence Interval for the Mean Response; 4.7 Statistical, Technical and Sociological Dimensions of DOE; 4.7.1 Statistical Dimension of DOE; 4.7.2 Technical Dimension of DOE; 4.7.3 Sociological and Managerial Dimensions of DOE; Exercises; References; 5 Screening Designs; 5.1 Introduction; 5.2 Geometric and Non-geometric P-B Designs; Exercises; References; 6 Full Factorial Designs; 6.1 Introduction
6.2 Example of a 22 Full Factorial Design6.2.1 Objective 1: Determination of Main/Interaction Effects That Influence Mean Plating Thickness; 6.2.2 Objective 2: Determination of Main/Interaction Effects That Influence Variability in Plating Thickness; 6.2.3 Objective 4: How to Achieve a Target Plating Thickness of 120 Units?; 6.3 Example of a 23 Full Factorial Design; 6.3.1 Objective 1: To Identify the Significant Main/Interaction Effects That Affect the Process Yield; 6.3.2 Objective 2: To Identify the Significant Main/Interaction Effects That Affect the Variability in Process Yield
6.3.3 Objective 3: What Is the Optimal Process Condition?
Record Nr. UNINA-9910806224703321
Antony Jiju  
Amsterdam, [Netherlands] : , : Elsevier, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design of experiments overview handbook / [edited by Council for Continuous Improvement]
Design of experiments overview handbook / [edited by Council for Continuous Improvement]
Pubbl/distr/stampa San Jose : Council for Continuous Improvement, c1994
Descrizione fisica ix, 30 p. ; 30 cm.
Disciplina 001.434
Soggetto topico Experimental design
ISBN 0527762369
Classificazione AMS 05B
AMS 62K
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000810449707536
San Jose : Council for Continuous Improvement, c1994
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Design of observational studies [[electronic resource] /] / by Paul R. Rosenbaum
Design of observational studies [[electronic resource] /] / by Paul R. Rosenbaum
Autore Rosenbaum Paul R
Edizione [2nd ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XXVII, 547 p. 34 illus.)
Disciplina 001.434
Collana Springer Series in Statistics
Soggetto topico Statistics 
Probabilities
Econometrics
Biostatistics
Psychology—Methodology
Psychological measurement
Social sciences
ISBN 3-030-46405-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Beginnings -- 1 Dilemmas and Craftsmanship -- 2 Causal Inference in Randomized Experiments -- 3 Two Simple Models for Observational Studies -- 4 Competing Theories Structure Design -- 5 Opportunities, Devices, and Instruments -- 6 Transparency -- 7 Some Counterclaims Undermine Themselves -- Part II Matching -- 8 A Matched Observational Study -- 9 Basic Tools of Multivariate Matching -- 10 Various Practical Issues in Matching -- 11 Fine Balance -- 12 Matching Without Groups -- 13 Risk-Set Matching -- 14 Matching in R -- Part III Design Sensitivity -- 15 The Power of a Sensitivity Analysis and Its Limit -- 16 Heterogeneity and Causality -- 17 Uncommon but Dramatic Responses to Treatment -- 18 Anticipated and Discovered Patterns of Response -- 19 Choice of Test Statistic -- Part IV Enhanced Design -- 20 Evidence Factors -- 21 Constructing Several Comparison Groups -- Part V Planning Analysis -- 22 After Matching, Before Analysis -- 23 Planning the Analysis -- Summary: Key Elements of Design -- Solutions to Common Problems -- Symbols -- Acronyms -- Glossary of Statistical Terms -- Further Reading -- Suggested Readings for a Course -- Index.
Record Nr. UNISA-996418268703316
Rosenbaum Paul R  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Design of observational studies [[electronic resource] /] / by Paul R. Rosenbaum
Design of observational studies [[electronic resource] /] / by Paul R. Rosenbaum
Autore Rosenbaum Paul R
Edizione [2nd ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XXVII, 547 p. 34 illus.)
Disciplina 001.434
Collana Springer Series in Statistics
Soggetto topico Statistics 
Probabilities
Econometrics
Biostatistics
Psychology—Methodology
Psychological measurement
Social sciences
ISBN 3-030-46405-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Beginnings -- 1 Dilemmas and Craftsmanship -- 2 Causal Inference in Randomized Experiments -- 3 Two Simple Models for Observational Studies -- 4 Competing Theories Structure Design -- 5 Opportunities, Devices, and Instruments -- 6 Transparency -- 7 Some Counterclaims Undermine Themselves -- Part II Matching -- 8 A Matched Observational Study -- 9 Basic Tools of Multivariate Matching -- 10 Various Practical Issues in Matching -- 11 Fine Balance -- 12 Matching Without Groups -- 13 Risk-Set Matching -- 14 Matching in R -- Part III Design Sensitivity -- 15 The Power of a Sensitivity Analysis and Its Limit -- 16 Heterogeneity and Causality -- 17 Uncommon but Dramatic Responses to Treatment -- 18 Anticipated and Discovered Patterns of Response -- 19 Choice of Test Statistic -- Part IV Enhanced Design -- 20 Evidence Factors -- 21 Constructing Several Comparison Groups -- Part V Planning Analysis -- 22 After Matching, Before Analysis -- 23 Planning the Analysis -- Summary: Key Elements of Design -- Solutions to Common Problems -- Symbols -- Acronyms -- Glossary of Statistical Terms -- Further Reading -- Suggested Readings for a Course -- Index.
Record Nr. UNINA-9910483420103321
Rosenbaum Paul R  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital human modeling and applications in health, safety, ergonomics and risk management. Anthropometry, human behavior, and communication : 13th International Conference, DHM 2022, held as part of the 24th HCI International Conference, HCII 2022, Virtual event, June 26-July 1, 2022, Proceedings. Part I / / Vincent G. Duffy (editor)
Digital human modeling and applications in health, safety, ergonomics and risk management. Anthropometry, human behavior, and communication : 13th International Conference, DHM 2022, held as part of the 24th HCI International Conference, HCII 2022, Virtual event, June 26-July 1, 2022, Proceedings. Part I / / Vincent G. Duffy (editor)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (377 pages)
Disciplina 001.434
Collana Lecture notes in computer science
Soggetto topico Digital computer simulation
Medical care - Data processing
ISBN 9783031058905
9783031058899
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910578694603321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital human modeling and applications in health, safety, ergonomics and risk management. Anthropometry, human behavior, and communication : 13th International Conference, DHM 2022, held as part of the 24th HCI International Conference, HCII 2022, Virtual event, June 26-July 1, 2022, Proceedings. Part I / / Vincent G. Duffy (editor)
Digital human modeling and applications in health, safety, ergonomics and risk management. Anthropometry, human behavior, and communication : 13th International Conference, DHM 2022, held as part of the 24th HCI International Conference, HCII 2022, Virtual event, June 26-July 1, 2022, Proceedings. Part I / / Vincent G. Duffy (editor)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (377 pages)
Disciplina 001.434
Collana Lecture notes in computer science
Soggetto topico Digital computer simulation
Medical care - Data processing
ISBN 9783031058905
9783031058899
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996478869603316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management [[electronic resource] ] : 9th International Conference, DHM 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings / / edited by Vincent G. Duffy
Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management [[electronic resource] ] : 9th International Conference, DHM 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings / / edited by Vincent G. Duffy
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIX, 659 p. 306 illus.)
Disciplina 001.434
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico User interfaces (Computer systems)
Special purpose computers
Computer communication systems
Artificial intelligence
Optical data processing
User Interfaces and Human Computer Interaction
Special Purpose and Application-Based Systems
Computer Communication Networks
Artificial Intelligence
Image Processing and Computer Vision
ISBN 3-319-91397-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Anthropometry, ergonomics and design -- Motion modelling and rehabilitation -- User diversity and well-being -- Nursing and medical applications -- Transportation human factors.
Record Nr. UNINA-9910349420903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui