Multivariate, Health and Demographic Data Analysis Herausgegeben:Zafeiris, Konstantinos N.; Skiadas, Christos H.; Dimotikalis, Yiannis; Karagrigoriou, Alex; Karagrigoriou-Vonta, Christiana
Multivariate, Health and Demographic Data Analysis Herausgegeben:Zafeiris, Konstantinos N.; Skiadas, Christos H.; Dimotikalis, Yiannis; Karagrigoriou, Alex; Karagrigoriou-Vonta, Christiana
The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data…mehr
The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering.
This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Konstantinos N. Zafeiris is Associate Professor of Demography within the Department of History and Ethnology at the Democritus University of Thrace, Greece. Christos H. Skiadas was the Founder and Director of Data Analysis and Forecasting and Former Vice-Rector at the Technical University of Crete, Greece. Yiannis Dimotikalis is Assistant Professor of Quantitative Methods within the Department of Management Science and Technology at the Hellenic Mediterranean University, Greece. Alex Karagrigoriou is Professor of Probability and Statistics, Director of the Laboratory of Statistics and Data Analysis and Actuarial-Financial Mathematics at the University of the Aegean, Greece. Christiana Karagrigoriou-Vonta is a (socio) linguist, translator and subtitler. She works as a freelance translator and editor of scientific texts and provides postproduction services (subtitling) for private companies and broadcasting corporations.
Inhaltsangabe
Preface xv Konstantinos N ZAFEIRIS, Yiannis DIMOTIKALIS, Christos H SKIADAS, Alex KARAGRIGORIOU and Christiana KARAGRIGORIOU-VONTA
Part 1 1
Chapter 1 A Topological Clustering of Variables 3 Rafik ABDESSELAM
1.1 Introduction 3
1.2 Topological context 5
1.3 Topological clustering of variables -- selective review 9
1.4 Illustration on real data of simple examples 10
1.5 Conclusion 19
1.6 Appendix 20
1.7 References 23
Chapter 2 A New Regression Model for Count Compositions 25 Roberto ASCARI and Sonia MIGLIORATI
2.1 Introduction 25
2.1.1 Distributions for count vectors 26
2.2 Regression models and Bayesian inference 29
2.3 Simulation studies 30
2.4 Application to real electoral data 34
2.5 References 37
Chapter 3 Intergenerational Class Mobility in Greece with Evidence from EU-SILC 39 Glykeria STAMATOPOULOU, Maria SYMEONAKI and Catherine MICHALOPOULOU
3.1 Introduction 39
3.2 Data and methods 41
3.3 The trends of class mobility between different birth cohorts 45
3.4 Conclusion 52
3.5 References 52
Chapter 4 Capturing School-to-Work Transitions Using Data from the First European Graduate Survey 55 Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU
4.1 Introduction 55
4.2 Data and methodology 57
4.3 Results 58
4.4 Conclusion 63
4.5 References 64
Chapter 5 A Cluster Analysis Approach for Identifying Precarious Workers 67 Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU
5.1 Introduction 67
5.2 Data and methodology 68
5.3 Results 70
5.4 Conclusion and discussion 74
5.5 References 75
Chapter 6 American Option Pricing Under a Varying Economic Situation Using Semi-Markov Decision Process 77 Kouki TAKADA, Marko DIMITROV, Lu JIN and Ying NI
6.1 Introduction 77
6.2 American option pricing 79
6.3 Exercising strategies 80
6.4 Conclusion 89
6.5 References 89
Chapter 7 The Implementation of Hierarchical Classifications and Cochran's Rule in the Analysis of Social Data 91 Aggeliki YFANTI and Catherine MICHALOPOULOU
7.1 Introduction 91
7.2 Methods 95
7.3 Results 96
7.4 Conclusion 101
7.5 References 102
Chapter 8 Dynamic Optimization with Tempered Stable Subordinators for Modeling River Hydraulics 105 Hidekazu YOSHIOKA and Yumi YOSHIOKA
8.1 Introduction 105
8.2 Mathematical model 108
8.3 Optimization problem 109
8.4 HJBI equation: formulation and solution 111
8.5 Concluding remarks 115
8.6 Acknowledgments 116
8.7 References 116
Part 2 119
Chapter 9 Predicting Event Counts in Event-Driven Clinical Trials Accounting for Cure and Ongoing Recruitment 121 Vladimir ANISIMOV, Stephen GORMLEY, Rosalind BAVERSTOCK and Cynthia KINEZA
9.1 Introduction 122
9.2 Modeling the process of event occurrence 123
9.3 Predicting event counts for patients at risk 127
9.4 Predicting event counts accounting for ongoing recruitment 129
9.5 Monte Carlo simulation 133
9.6 Software development 133
9.7 R package and implementation in a clinical trial 138
9.8 Conclusion 140
9.9 References 141
Chapter 10 Structural Modeling: An Application to the Evaluation of Ecosystem Practices at the Plot Level 143 Dominique DESBOIS
Preface xv Konstantinos N ZAFEIRIS, Yiannis DIMOTIKALIS, Christos H SKIADAS, Alex KARAGRIGORIOU and Christiana KARAGRIGORIOU-VONTA
Part 1 1
Chapter 1 A Topological Clustering of Variables 3 Rafik ABDESSELAM
1.1 Introduction 3
1.2 Topological context 5
1.3 Topological clustering of variables -- selective review 9
1.4 Illustration on real data of simple examples 10
1.5 Conclusion 19
1.6 Appendix 20
1.7 References 23
Chapter 2 A New Regression Model for Count Compositions 25 Roberto ASCARI and Sonia MIGLIORATI
2.1 Introduction 25
2.1.1 Distributions for count vectors 26
2.2 Regression models and Bayesian inference 29
2.3 Simulation studies 30
2.4 Application to real electoral data 34
2.5 References 37
Chapter 3 Intergenerational Class Mobility in Greece with Evidence from EU-SILC 39 Glykeria STAMATOPOULOU, Maria SYMEONAKI and Catherine MICHALOPOULOU
3.1 Introduction 39
3.2 Data and methods 41
3.3 The trends of class mobility between different birth cohorts 45
3.4 Conclusion 52
3.5 References 52
Chapter 4 Capturing School-to-Work Transitions Using Data from the First European Graduate Survey 55 Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU
4.1 Introduction 55
4.2 Data and methodology 57
4.3 Results 58
4.4 Conclusion 63
4.5 References 64
Chapter 5 A Cluster Analysis Approach for Identifying Precarious Workers 67 Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU
5.1 Introduction 67
5.2 Data and methodology 68
5.3 Results 70
5.4 Conclusion and discussion 74
5.5 References 75
Chapter 6 American Option Pricing Under a Varying Economic Situation Using Semi-Markov Decision Process 77 Kouki TAKADA, Marko DIMITROV, Lu JIN and Ying NI
6.1 Introduction 77
6.2 American option pricing 79
6.3 Exercising strategies 80
6.4 Conclusion 89
6.5 References 89
Chapter 7 The Implementation of Hierarchical Classifications and Cochran's Rule in the Analysis of Social Data 91 Aggeliki YFANTI and Catherine MICHALOPOULOU
7.1 Introduction 91
7.2 Methods 95
7.3 Results 96
7.4 Conclusion 101
7.5 References 102
Chapter 8 Dynamic Optimization with Tempered Stable Subordinators for Modeling River Hydraulics 105 Hidekazu YOSHIOKA and Yumi YOSHIOKA
8.1 Introduction 105
8.2 Mathematical model 108
8.3 Optimization problem 109
8.4 HJBI equation: formulation and solution 111
8.5 Concluding remarks 115
8.6 Acknowledgments 116
8.7 References 116
Part 2 119
Chapter 9 Predicting Event Counts in Event-Driven Clinical Trials Accounting for Cure and Ongoing Recruitment 121 Vladimir ANISIMOV, Stephen GORMLEY, Rosalind BAVERSTOCK and Cynthia KINEZA
9.1 Introduction 122
9.2 Modeling the process of event occurrence 123
9.3 Predicting event counts for patients at risk 127
9.4 Predicting event counts accounting for ongoing recruitment 129
9.5 Monte Carlo simulation 133
9.6 Software development 133
9.7 R package and implementation in a clinical trial 138
9.8 Conclusion 140
9.9 References 141
Chapter 10 Structural Modeling: An Application to the Evaluation of Ecosystem Practices at the Plot Level 143 Dominique DESBOIS
10.1 Introduction 143
10.2 Structu
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