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Data Analysis and Related Applications 3 -

Data Analysis and Related Applications 3

Theory and Practice, New Approaches
Buch | Hardcover
304 Seiten
2024
ISTE Ltd and John Wiley & Sons Inc (Verlag)
978-1-78630-962-4 (ISBN)
CHF 229,95 inkl. MwSt
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The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current 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 appropriate applications.

The published data analysis methodology includes the updated state-of-the-art rapidly developed theory and applications of data expansion, both of which go through outstanding changes nowadays. New approaches are expected to deliver and have been developed, including Artificial Intelligence.

Yiannis Dimotikalis is Assistant Professor of Quantitative Methods in the Department of Management Science and Technology at Hellenic Mediterranean University, 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. He is the Chair of the Applied Stochastic Models and Data Analysis conference series.

Part 1 Data Analysis Classification 1

Chapter 1 Walking into the Digital Era: Comparison of the European Union Countries in the Last Decade 3
Fernanda Otilia FIGUEIREDO and Adelaide FIGUEIREDO

1.1 Introduction 3

1.2 Double principal component analysis: a brief description 7

1.3 Representation of the trajectories 8

1.4 Some final conclusions 11

1.5 Acknowledgements 12

1.6 References 12

Chapter 2 Multivariate Kernel Discrimination Applied to Bank Loan Classification 13
Mark Anthony CARUANA and Gabriele LENTINI

2.1 Introduction 13

2.2 Multivariate kernel density estimation 14

2.3 Kernel discriminant analysis 17

2.4 Applying kernel discriminant analysis to local data 18

2.5 Conclusion 25

2.6 References 25

Chapter 3 Introducing an Ontology of Adolescents' Digital Leisure 29
George FILANDRIANOS, Aggeliki KAZANI, Dimitrios PARSANOGLOU, Maria SYMEONAKI and Giorgos STAMOU

3.1 Introduction 29

3.2 Related work 32

3.3 Ontology 35

3.4 Description of the ontology construction 36

3.5 Data annotation 39

3.6 Conclusions 41

3.7 Acknowledgments 41

3.8 References 41

Chapter 4 Blackjack and the Kelly Bet: A Simulation Assessment of Selected Playing Strategies 43
Jim FREEMAN and Haoyu MIAO

4.1 Introduction 43

4.2 Blackjack 44

4.3 Kelly bet 46

4.4 Simulation study 47

4.5 Empirical results 48

4.6 Conclusions 49

4.7 References 50

Part 2 Estimators 51

Chapter 5 An Evaluation of the Efficiency of a Shape Parameter Estimator for the Log-logistic Distribution 53
Frederico CAEIRO and Ayana MATEUS

5.1 Introduction 53

5.2 Estimation of the shape parameter 56

5.3 Simulation study 58

5.4 References 60

Chapter 6 Restricted Minimum Density Power Divergence Estimator for Step-stress ALT with Nondestructive One-shot Devices 63
Narayanaswamy BALAKRISHNAN, María JAENADA and Leandro PARDO

6.1 Introduction 63

6.2 Minimum density power divergence estimator and restricted minimum density power divergence estimator 65

6.3 Influence function of the restricted minimum density power divergence estimator 68

6.4 Applications of the restricted MDPDE 69

6.5 Simulation study 73

6.6 Conclusions 75

6.7 References 75

Part 3 Finance 77

Chapter 7 Properties of American Options Under a Semi-Markov Modulated Black-Scholes Model 79
Kouki TAKADA, Marko DIMITROV, Lu JIN and Ying NI

7.1 Introduction 79

7.2 American option pricing 81

7.3 Exercising strategies 83

7.4 Conclusion 93

7.5 References 93

Chapter 8 Numerical Studies of Implied Volatility Expansions Under the Gatheral Model 97
Mohammed ALBUHAYRI, Marko DIMITROV, Ying NI and Anatoliy MALYARENKO

8.1 Introduction 97

8.2 Previous results 99

8.3 Accuracy of the asymptotic expansions 102

8.4 Numerical analysis 105

8.5 Conclusion and future work 106

8.6 Acknowledgments 106

8.7 References 106

Chapter 9 Constructing Trinominal Models Based on Cubature Method on Wiener Space: Applications to Pricing Financial Derivatives 109
Hossein NOHROUZIAN, Anatoliy MALYARENKO and Ying NI

9.1 Introduction and outline of this chapter 109

9.2 Cubature formula in Black-Scholes and Black's models 110

9.3 Constructing a trinomial tree via cubature formula 113

9.4 Convergence to geometric Brownian motion 115

9.5 Martingale probability measure 122

9.6 Extension of the results and examples 124

9.7 Discussion 129

9.8 References 129

Chapter 10 A Bayesian Approach to Measuring Risk on Portfolios with Many Assets 131
Samuel BONELLO, David SUDA and Monique BORG INGUANEZ

10.1 Introduction 131

10.2, Dynamic principal component analysis 133

10.3 The Bayesian GARCH(1,1) model 135

10.4 Modeling a portfolio with many assets 137

10.5 Forecasting and risk estimation 140

10.6 Measuring predictive ability 143

10.7 Conclusion 144

10.8 Acknowledgments 145

10.9 References 145

Chapter 11 Financial Management of Four Hellenic Public Health Units Analysis and Evaluation through Numerical Indicators 147
Maria SACHINIDOU and George MATALLIOTAKIS

11.1 Introduction 148

11.2 Theoretical framework 148

11.3 Methodology 149

11.4 Research results 149

11.5 Conclusions 162

11.6 References 163

Part 4 Health Services 165

Chapter 12 Lean Management as an Improvement Factor in Health Services The Case of Venizeleio General Hospital of Crete, Greece 167
Eleni GENITSARIDI and George MATALLIOTAKIS

12.1 Introduction 168

12.2 Theoretical framework 168

12.3 Purpose of the research 172

12.4 Methodology 172

12.5 Research results 172

12.6 Conclusions 179

12.7 References 180

Chapter 13 Satisfaction of Employees in Primary and Secondary Healthcare Structures During the Pandemic Period in the Prefecture of Magnesia 183
Sofia TRIKALLIOTI and George MATALLIOTAKIS

13.1 Introduction 184

13.2 The Covid-19 pandemic and its effects 184

13.3 Job satisfaction of healthcare professionals 185

13.4 Healthcare professionals and the burnout syndrome 186

13.5 Research purpose 188

13.6 Research methodology 188

13.7 Research conclusions 189

13.8 References 193

Chapter 14 A Parametric Analysis of OpenFlow and P4 Protocols Based on Software Defined Networks 197
Lincoln S PETER, Hlabishi I KOBO and Viranjay M SRIVASTAVA

14.1 Introduction 198

14.2 Motivation 200

14.3 Challenges to the existing models 202

14.4 Conclusions and future recommendations 205

14.5 References 205

Chapter 15 A Dynamic Neural Network Model for Accurate Recognition of Masked Faces 209
Oladapo T IBITOYE and Viranjay M SRIVASTAVA

15.1 Introduction 210

15.2 Methodology 213

15.3 Results and discussion 217

15.4 Conclusions and future recommendations 220

Chapter 16 An Action-based Monitoring Tool for Processes Subject to Multiple Quality Shifts 225
Konstantina TSIOTA and Konstantinos A TASIAS

16.1 Introduction 225

16.2 Problem definition and assumptions 227

16.3 Conventional versus proposed SPC approach 230

16.4 Markov chain models 232

16.5 Optimization problem 238

16.6 Numerical analysis 239

16.7 Conclusions 242

16.8 References 242

Chapter 17 Phi Divergence and Consistent Estimation for Stochastic Block Model 243
Cyprien FERRARIS

17.1 Introduction 243

17.2 Statement of the problem 244

17.3 Results 247

17.4 Simulations 248

17.5 Study of real dataset: email-Enron 250

17.6 Summary and discussion 251

17.7 Acknowledgment 252

17.8 Appendix 252

17.9 References 257

List of Authors 259

Index 263

Erscheinungsdatum
Verlagsort London
Sprache englisch
Gewicht 737 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Mathematik
ISBN-10 1-78630-962-9 / 1786309629
ISBN-13 978-1-78630-962-4 / 9781786309624
Zustand Neuware
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