Konstantinos N. ZAFEIRIS, Yiannis DIMOTIKALIS, Christos H. SKIADAS, Alex KARAGRIGORIOU and Christiana KARAGRIGORIOU-VONTA
Part 1
Chapter 1. A Topological Clustering of Variables
Rafik ABDESSELAM
1.1. Introduction
1.2. Topological context
1.2.1. Reference adjacency matrices
1.2.2. Quantitative variables
1.2.3. Qualitative variables
1.2.4. Mixed variables
1.3. Topological clustering of variables – selective review
1.4. Illustration on real data of simple examples
1.4.1. Case of a set of quantitative variables
1.4.2. Case of a set of qualitative variables
1.4.3. Case of a set of mixed variables
1.5. Conclusion
1.6. Appendix
1.7. References
Chapter 2. A New Regression Model for Count Compositions
Roberto ASCARI and Sonia MIGLIORATI
2.1. Introduction
2.1.1. Distributions for count vectors
2.2. Regression models and Bayesian inference
2.3. Simulation studies
2.3.1. Fitting study
2.3.2. Excess of zeroes
2.4. Application to real electoral data
2.5. References
Chapter 3. Intergenerational Class Mobility in Greece with Evidence from EU-SILC
Glykeria STAMATOPOULOU, Maria SYMEONAKI and Catherine MICHALOPOULOU
3.1. Introduction
3.2. Data and methods
3.3. The trends of class mobility between different birth cohorts
3.4. Conclusion
3.5. References
Chapter 4. Capturing School-to-Work Transitions Using Data from the First European Graduate Survey
Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU
4.1. Introduction
4.2. Data and methodology
4.3. Results
4.4. Conclusion
4.5. References
Chapter 5. A Cluster Analysis Approach for Identifying Precarious Workers
Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU
5.1. Introduction
5.2. Data and methodology
5.3. Results
5.4. Conclusion and discussion
5.4.1. Declarations
5.5. References
Chapter 6. American Option Pricing Under a Varying Economic Situation Using Semi-Markov Decision Process
Kouki TAKADA, Marko DIMITROV, Lu JIN and Ying NI
6.1. Introduction
6.2. American option pricing
6.3. Exercising strategies
6.3.1. Setting parameter
6.3.2. Relationship between the American option price and economic situation i
6.3.3. Relationship between the American option price and the asset price s
6.3.4. Relationship between the American option price and maturity T
6.3.5. Relationship between the American option price and transition probabilities P
6.3.6. Consideration of the optimal exercise region
6.4. Conclusion
6.5. References
Chapter 7. The Implementation of Hierarchical Classifications and Cochran’s Rule in the Analysis of Social Data
Aggeliki YFANTI and Catherine MICHALOPOULOU
7.1. Introduction
7.2. Methods
7.3. Results
7.4. Conclusion
7.5. References
Chapter 8. Dynamic Optimization with Tempered Stable Subordinators for Modeling River Hydraulics
Hidekazu YOSHIOKA and Yumi YOSHIOKA
8.1. Introduction
8.2. Mathematical model
8.3. Optimization problem
8.4. HJBI equation: formulation and solution
8.5. Concluding remarks
8.6. Acknowledgments
8.7. References
Part 2
Chapter 9. Predicting Event Counts in Event-Driven Clinical Trials Accounting for Cure and Ongoing Recruitment
Vladimir ANISIMOV, Stephen GORMLEY, Rosalind BAVERSTOCK and Cynthia KINEZA
9.1. Introduction
9.2. Modeling the process of event occurrence
9.2.1. Estimating parameters of the model
9.3. Predicting event counts for patients at risk
9.3.1. Global prediction
9.4. Predicting event counts accounting for ongoing recruitment
9.4.1. Modeling and predicting patient recruitment
9.4.2. Predicting event counts
9.4.3. Global forecasting event counts at interim stage
9.5. Monte Carlo simulation
9.6. Software development
9.6.1. R package design
9.6.2. R package input data required
9.7. R package and implementation in a clinical trial
9.7.1. Introduction
9.7.2. Key predictions
9.7.3. Plots and parameter estimates
9.8. Conclusion
9.9. References
Chapter 10. Structural Modeling: An Application to the Evaluation of Ecosystem Practices at the Plot Level
Dominique DESBOIS
10.1. Introduction
10.2. Structural equation modeling using partial least squares
10.2.1. Specification of the internal model
10.2.2. Specification of the external model
10.2.3. Validation statistics for the external model
10.2.4. Overall validation of structural modeling
10.3. Material and method
10.3.1. Agro-ecological context of the study
10.3.2. Data
10.3.3. The structural model and the estimation
10.4. Results and discussion
10.4.1. Checking the block one-dimensionality
10.4.2. Fitting the external model and assessing the quality of the fit
10.4.3. The structural model after revision
10.5. Conclusion
10.6. References
Chapter 11. Lean Management as an Improvement Factor in Health Services – The Case of Venizeleio General Hospital of Crete, Greece
Eleni GENITSARIDI and George MATALLIOTAKIS
11.1. Introduction
11.2. Theoretical framework
11.3. Purpose of the research
11.4. Methodology
11.5. Research results
11.6. Conclusion
11.7. References
Chapter 12. Motivation and Professional Satisfaction of Medical and Nursing Staff of Primary Health Care Structures (Urban and Regional Health Centers) of the Prefecture of Heraklion, Under the Responsibility of the 7th Ministry
Mihalis KYRIAKAKIS and George MATALLIOTAKIS
12.1. Introduction
12.2. Methodology and material
12.2.1. Research tools for measuring motivation and professional satisfaction for this work
12.2.2. Purpose and objectives of the research
12.2.3. Material and method
12.2.4. Statistical analysis
12.3. Results
12.4. Discussion
12.5. Conclusion
12.6. References
Chapter 13. Developing a Bibliometric Quality Indicator for Journals Applied to the Field of Dentistry
Pilar VALDERRAMA, Ana M. AGUILERA and Mariano J. VALDERRAMA
13.1. Introduction
13.2. Methodology
13.3. Discussion and conclusion
13.4. Acknowledgments
13.5. Appendix
13.6. References
Chapter 14. Statistical Process Monitoring Techniques for Covid-19
Emmanouil-Nektarios KALLIGERIS and Andreas MAKRIDES
14.1. Introduction
14.2. Materials and methods
14.3. Behavior of Covid-19 disease in the Mediterranean region
14.4. Conclusion
14.5. Acknowledgments
14.6. References
Part 3
Chapter 15. Increase of Retirement Age and Health State of Population in Czechia
Tomáš FIALA, Jitka LANGHAMROVÁ and Jana VRABCOVÁ
15.1. Introduction
15.2. Data and methodological remarks
15.3. Statutory retirement age
15.4. Development of the state of health of population
15.5. Development of the state of health of population in productive and post-productive ages
15.6. Conclusion
15.7. Acknowledgment
15.8. References
Chapter 16. A Generalized Mean Under a Non-Regular Framework and Extreme Value Index Estimation
M. IVETTE GOMES, Lígia HENRIQUES-RODRIGUES and Dinis PESTANA
16.1. Introduction
16.2. Preliminary results in the area of EVT for heavy tails and asymptotic behavior of MOp functionals
16.2.1. A brief review of first- and second-order conditions
16.2.2. Asymptotic behavior of the Hill EVI-estimators
16.2.3. Asymptotic behavior of MOp EVI-estimators under a regular framework
16.2.4. A brief reference to additive stable laws
16.2.5. Asymptotic behavior of EVI-estimators under a non-regular framework
16.3. Finite-sample behavior of MOp functionals
16.4. A non-regular adaptive choice of p and k
16.5. Concluding remarks
16.6. References
Chapter 17. Demography and Policies in V4 Countries
Michaela KADLECOVÁ, Filip HON and Jitka LANGHAMROVÁ
17.1. Introduction
17.2. Demographic development in the V4 countries
17.3. Development of fertility and family policy
17.4. Pension systems of the Visegrad Four countries
17.5. Prediction of future development of V4 populations
17.6. Conclusion
17.7. Acknowledgments
17.8. References
Chapter 18. Decomposing Differences in Life Expectancy with and without Disability: The Case of Czechia
David MORÁVEK, Tomáš BĚLOCH and Jitka LANGHAMROVÁ
18.1. Introduction
18.2. Methodology and data
18.3. Main results
18.3.1. Effect of mortality
18.3.2. Effects of mortality and health
18.4. Conclusion
18.5. Acknowledgments
18.6. References
Chapter 19. Assessing the Predictive Ability of Subjective Survival Probabilities
Apostolos PAPACHRISTOS and Georgia VERROPOULOU
19.1. Introduction
19.1.1. Actual mortality patterns
19.1.2. Objectives of the study
19.2. Methods
19.2.1. Data
19.2.2. Force of subjective mortality
19.2.3. Variables
19.2.4. Statistical modeling
19.3. Results
19.3.1. Sample
19.3.2. Multivariable analyses
19.4. Discussion
19.5. Conclusion
19.6. Acknowledgments
19.7. References
Chapter 20. Exploring Excess Mortality During the Covid-19 Pandemic with Seasonal ARIMA Models
Karl-Heinz JÖCKEL and Peter PFLAUMER
20.1. Introduction
20.2. Binomial mortality model and the empirical distribution of daily deaths in Germany
20.3. Non-seasonal ARIMA model for weekly data in Germany
20.4. Seasonal ARIMA models of weekly deaths for Spain, Germany and Sweden
20.5. Measuring excess mortality, especially in Spain, Germany and Sweden
20.6. Forecasting daily deaths in Germany
20.7. Conclusion
20.8. Appendix
20.8.1. Estimation results of the other age classes
20.8.2. Time series decomposition
20.9. References
Chapter 21. The Impact of Cesarean Section on Neonatal Mortality in Rural–Urban Divisions in a Region of Brazil
Carlos SANTOS and Neir PAES
21.1. Introduction
21.2. Materials and methods
21.2.1. Multilevel logistic model
21.3. Results and discussion
21.4. Conclusion
21.5. References
Chapter 22. Analysis of Alcohol Policy in Czechia: Estimation of Alcohol Policy Scale Compared to EU Countries
Kornélia SVAČINOVÁ, Markéta Majerová PECHHOLDOVÁ and Jana VRABCOVÁ
22.1. Introduction
22.2. Literature review
22.3. Methods
22.4. Results
22.5. Discussion
22.6. Conclusion
22.7. Acknowledgment
22.8. References
Chapter 23. Alcohol-Related Mortality and Its Cause-Elimination in Life Tables in Selected European Countries and USA: An International Comparison
Jana VRABCOVÁ, Markéta Majerová PECHHOLDOVÁ and Kornélia SVAČINOVÁ
23.1. Introduction
23.2. Data and methods
23.3. Alcohol consumption in European countries by the OECD
23.4. Czechia
23.5. Poland
23.6. Belarus
23.7. Russia
23.8. France
23.9. USA
23.10. Conclusion
23.11. Acknowledgment
23.12. References
Chapter 24. Labor Force Aging in the Czech Republic: The Role of Education and Economic Industry