Data Analysis and Related Applications, Volume 5 - Yiannis Dimotikalis

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Auteur(s) : Yiannis Dimotikalis

Editeur : John Wiley & Sons

Langue : Anglais

Parution : 01/09/2025

Format : Moyen, de 350g à 1kg

Nombre de pages : 448.0

ISBN : 183669041X

Résumé :

This book is a collective work by several 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.

Data Analysis and Related Applications 5 represents a cross-section of current concerns 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 appropriate applications.

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Biographie:

Yiannis Dimotikalis works in the Department of Management Science and Technology at the Hellenic Mediterranean University, Greece. His research areas include teaching operations research (analytics), focusing on simulation and optimization.

Christos H. Skiadas is the Founder and Director of the Data Analysis and Forecasting Laboratory in the Technical University of Crete, Greece. He is also the former Vice-Rector of the Technical University of Crete and Chairman of the Department of Production Engineering and Management.

Sommaire:

Chapter 1 Modeling/Forecasting Patient Recruitment in Multicenter Clinical Trials Using Time-dependent Models 1
Volodymyr ANISIMOV and Lucas OLIVER

1.1 Introduction 1

1.2 Poisson-gamma model with time-dependent rates 5

1.2.1 The case of homogeneous rates 5

1.3 Non-homogeneous PG model 7

1.3.1 Estimation at the interim stage 9

1.3.2 Simulation of non-homogeneous PG model 10

1.4 Testing the recruitment rates for homogeneity 11

1.4.1 Poisson-type test 12

1.4.2 Criterion for testing hypothesis H 0 13

1.4.3 Poisson-gamma test 15

1.5 Implementations 19

1.6 Acknowledgment 20

1.7 References 20

Chapter 2 Forecasting the Next Megacycle of the Economy 23
George S. ATSALAKIS and Ioanna ATSALAKI

2.1 Introduction 23

2.2 2024: the end of an economic megacycle 24

2.3 The role of technology in shaping the future 25

2.4 The economic consequences of the new cycle 25

2.4.1 Presenting past megacycles 26

2.4.2 The structure of economic megacycles 26

2.4.3 Technology as a catalyst for megacycles 27

2.4.4 Historical patterns of energy and economic growth 27

2.5 The future of economic megacycles 28

2.5.1 The 2024-2080 megacycle: a new era of exponential change and growth 28

2.5.2 Stagnation phase: 2024-2052 29

2.5.3 Growth phase: 2052-2080 29

2.5.4 Geopolitical and societal implications 30

2.5.5 Role of labor and automation 31

2.6 Conclusions 31

2.7 References 32

Chapter 3 Modeling Functioning as a Determinant of Wellbeing: A Mediation Analysis 35
Anastasia CHARALAMPI and Catherine MICHALOPOULOU

3.1 Introduction 35

3.2 Methods 37

3.2.1 Procedure and participants 37

3.2.2 Measures and item selection 38

3.2.3 Statistical analyses 40

3.3 Results 41

3.3.1 Univariate analysis 41

3.3.2 Bivariate analysis: correlation analysis 42

3.3.3 Multivariate analysis: mediation analysis 42

3.4 Conclusions 47

3.5 References 48

3.6 Appendix 51

Chapter 4 Cross-Cultural Issues in Psychological Assessment: A Multistrategy Approach 53
Franca CRIPPA, Giulia GOTTI, Raffaella CALATI, Mariangela ZENGA, Kainaat DANYAL and Naved IQBAL

4.1 Introduction 53

4.2 Suicide risk among university students: India and Italy in direct comparison 54

4.3 Merging techniques: A better way in cross-cultural studies? 56

4.4 Do different people respond in the same way to common items? 58

4.5 Conclusions 61

4.6 References 61

Chapter 5 A Control Chart for Zero-Inflated Semi-Continuous Data 65

Fernanda Ot?lia FIGUEIREDO, Adelaide FIGUEIREDO and M. Ivette GOMES

5.1 Introduction 65

5.1.1 Zero-inflated and hurdle models for count data 66

5.1.2 Inflated distributions for semi-continuous data 66

5.2 Zero-inflated Lomax distribution 67

5.2.1 The Lomax and the zero-inflated Lomax distributions 67

5.2.2 Maximum likelihood estimates 68

5.3 Shewhart control chart for monitoring zero-inflated Lomax data 69

5.4 Performance of the proposed control chart 70

5.5 Conclusions 74

5.6 Acknowledgments 76

5.7 References 76

Chapter 6 Further Results on Location Invariant Estimation of the Weibull Tail Coefficient 79
M. Ivette GOMES, Frederico CAEIRO and L?gia HENRIQUES-RODRIGUES

6.1 Introduction 79

6.2 Hill and GMs EVI and WTC-estimators 81

6.2.1 Power-mean-of-exponent- p (PM p) and Holder's mean-of-order-p (MO p ? H p) EVI estimation 81

6.2.2 WTC estimat...