Summary of Volume 2

Preface

Konstantinos N. ZAFEIRIS, Yiannis DIMOTIKALIS, Christos H. SKIADAS, Alex KARAGRIGORIOU and Christiana KARAGRIGORIOU-VONTA

  1. Part 1
    1. Chapter 1. A Topological Clustering of Variables

      Rafik ABDESSELAM

      1. 1.1. Introduction
      2. 1.2. Topological context
        1. 1.2.1. Reference adjacency matrices
        2. 1.2.2. Quantitative variables
        3. 1.2.3. Qualitative variables
        4. 1.2.4. Mixed variables
      3. 1.3. Topological clustering of variables – selective review
      4. 1.4. Illustration on real data of simple examples
        1. 1.4.1. Case of a set of quantitative variables
        2. 1.4.2. Case of a set of qualitative variables
        3. 1.4.3. Case of a set of mixed variables
      5. 1.5. Conclusion
      6. 1.6. Appendix
      7. 1.7. References
    2. Chapter 2. A New Regression Model for Count Compositions

      Roberto ASCARI and Sonia MIGLIORATI

      1. 2.1. Introduction
        1. 2.1.1. Distributions for count vectors
      2. 2.2. Regression models and Bayesian inference
      3. 2.3. Simulation studies
        1. 2.3.1. Fitting study
        2. 2.3.2. Excess of zeroes
      4. 2.4. Application to real electoral data
      5. 2.5. References
    3. Chapter 3. Intergenerational Class Mobility in Greece with Evidence from EU-SILC

      Glykeria STAMATOPOULOU, Maria SYMEONAKI and Catherine MICHALOPOULOU

      1. 3.1. Introduction
      2. 3.2. Data and methods
      3. 3.3. The trends of class mobility between different birth cohorts
      4. 3.4. Conclusion
      5. 3.5. References
    4. Chapter 4. Capturing School-to-Work Transitions Using Data from the First European Graduate Survey

      Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU

      1. 4.1. Introduction
      2. 4.2. Data and methodology
      3. 4.3. Results
      4. 4.4. Conclusion
      5. 4.5. References
    5. Chapter 5. A Cluster Analysis Approach for Identifying Precarious Workers

      Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU

      1. 5.1. Introduction
      2. 5.2. Data and methodology
      3. 5.3. Results
      4. 5.4. Conclusion and discussion
        1. 5.4.1. Declarations
      5. 5.5. References
    6. Chapter 6. American Option Pricing Under a Varying Economic Situation Using Semi-Markov Decision Process

      Kouki TAKADA, Marko DIMITROV, Lu JIN and Ying NI

      1. 6.1. Introduction
      2. 6.2. American option pricing
      3. 6.3. Exercising strategies
        1. 6.3.1. Setting parameter
        2. 6.3.2. Relationship between the American option price and economic situation i
        3. 6.3.3. Relationship between the American option price and the asset price s
        4. 6.3.4. Relationship between the American option price and maturity T
        5. 6.3.5. Relationship between the American option price and transition probabilities P
        6. 6.3.6. Consideration of the optimal exercise region
      4. 6.4. Conclusion
      5. 6.5. References
    7. Chapter 7. The Implementation of Hierarchical Classifications and Cochran’s Rule in the Analysis of Social Data

      Aggeliki YFANTI and Catherine MICHALOPOULOU

      1. 7.1. Introduction
      2. 7.2. Methods
      3. 7.3. Results
      4. 7.4. Conclusion
      5. 7.5. References
    8. Chapter 8. Dynamic Optimization with Tempered Stable Subordinators for Modeling River Hydraulics

      Hidekazu YOSHIOKA and Yumi YOSHIOKA

      1. 8.1. Introduction
      2. 8.2. Mathematical model
      3. 8.3. Optimization problem
      4. 8.4. HJBI equation: formulation and solution
      5. 8.5. Concluding remarks
      6. 8.6. Acknowledgments
      7. 8.7. References
  2. Part 2
    1. 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

      1. 9.1. Introduction
      2. 9.2. Modeling the process of event occurrence
        1. 9.2.1. Estimating parameters of the model
      3. 9.3. Predicting event counts for patients at risk
        1. 9.3.1. Global prediction
      4. 9.4. Predicting event counts accounting for ongoing recruitment
        1. 9.4.1. Modeling and predicting patient recruitment
        2. 9.4.2. Predicting event counts
        3. 9.4.3. Global forecasting event counts at interim stage
      5. 9.5. Monte Carlo simulation
      6. 9.6. Software development
        1. 9.6.1. R package design
        2. 9.6.2. R package input data required
      7. 9.7. R package and implementation in a clinical trial
        1. 9.7.1. Introduction
        2. 9.7.2. Key predictions
        3. 9.7.3. Plots and parameter estimates
      8. 9.8. Conclusion
      9. 9.9. References
    2. Chapter 10. Structural Modeling: An Application to the Evaluation of Ecosystem Practices at the Plot Level

      Dominique DESBOIS

      1. 10.1. Introduction
      2. 10.2. Structural equation modeling using partial least squares
        1. 10.2.1. Specification of the internal model
        2. 10.2.2. Specification of the external model
        3. 10.2.3. Validation statistics for the external model
        4. 10.2.4. Overall validation of structural modeling
      3. 10.3. Material and method
        1. 10.3.1. Agro-ecological context of the study
        2. 10.3.2. Data
        3. 10.3.3. The structural model and the estimation
      4. 10.4. Results and discussion
        1. 10.4.1. Checking the block one-dimensionality
        2. 10.4.2. Fitting the external model and assessing the quality of the fit
        3. 10.4.3. The structural model after revision
      5. 10.5. Conclusion
      6. 10.6. References
    3. 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

      1. 11.1. Introduction
      2. 11.2. Theoretical framework
      3. 11.3. Purpose of the research
      4. 11.4. Methodology
      5. 11.5. Research results
      6. 11.6. Conclusion
      7. 11.7. References
    4. 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

      1. 12.1. Introduction
      2. 12.2. Methodology and material
        1. 12.2.1. Research tools for measuring motivation and professional satisfaction for this work
        2. 12.2.2. Purpose and objectives of the research
        3. 12.2.3. Material and method
        4. 12.2.4. Statistical analysis
      3. 12.3. Results
      4. 12.4. Discussion
      5. 12.5. Conclusion
      6. 12.6. References
    5. Chapter 13. Developing a Bibliometric Quality Indicator for Journals Applied to the Field of Dentistry

      Pilar VALDERRAMA, Ana M. AGUILERA and Mariano J. VALDERRAMA

      1. 13.1. Introduction
      2. 13.2. Methodology
      3. 13.3. Discussion and conclusion
      4. 13.4. Acknowledgments
      5. 13.5. Appendix
      6. 13.6. References
    6. Chapter 14. Statistical Process Monitoring Techniques for Covid-19

      Emmanouil-Nektarios KALLIGERIS and Andreas MAKRIDES

      1. 14.1. Introduction
      2. 14.2. Materials and methods
      3. 14.3. Behavior of Covid-19 disease in the Mediterranean region
      4. 14.4. Conclusion
      5. 14.5. Acknowledgments
      6. 14.6. References
  3. Part 3
    1. Chapter 15. Increase of Retirement Age and Health State of Population in Czechia

      Tomáš FIALA, Jitka LANGHAMROVÁ and Jana VRABCOVÁ

      1. 15.1. Introduction
      2. 15.2. Data and methodological remarks
      3. 15.3. Statutory retirement age
      4. 15.4. Development of the state of health of population
      5. 15.5. Development of the state of health of population in productive and post-productive ages
      6. 15.6. Conclusion
      7. 15.7. Acknowledgment
      8. 15.8. References
    2. Chapter 16. A Generalized Mean Under a Non-Regular Framework and Extreme Value Index Estimation

      M. IVETTE GOMES, Lígia HENRIQUES-RODRIGUES and Dinis PESTANA

      1. 16.1. Introduction
      2. 16.2. Preliminary results in the area of EVT for heavy tails and asymptotic behavior of MOp functionals
        1. 16.2.1. A brief review of first- and second-order conditions
        2. 16.2.2. Asymptotic behavior of the Hill EVI-estimators
        3. 16.2.3. Asymptotic behavior of MOp EVI-estimators under a regular framework
        4. 16.2.4. A brief reference to additive stable laws
        5. 16.2.5. Asymptotic behavior of EVI-estimators under a non-regular framework
      3. 16.3. Finite-sample behavior of MOp functionals
      4. 16.4. A non-regular adaptive choice of p and k
      5. 16.5. Concluding remarks
      6. 16.6. References
    3. Chapter 17. Demography and Policies in V4 Countries

      Michaela KADLECOVÁ, Filip HON and Jitka LANGHAMROVÁ

      1. 17.1. Introduction
      2. 17.2. Demographic development in the V4 countries
      3. 17.3. Development of fertility and family policy
      4. 17.4. Pension systems of the Visegrad Four countries
      5. 17.5. Prediction of future development of V4 populations
      6. 17.6. Conclusion
      7. 17.7. Acknowledgments
      8. 17.8. References
    4. Chapter 18. Decomposing Differences in Life Expectancy with and without Disability: The Case of Czechia

      David MORÁVEK, Tomáš BĚLOCH and Jitka LANGHAMROVÁ

      1. 18.1. Introduction
      2. 18.2. Methodology and data
      3. 18.3. Main results
        1. 18.3.1. Effect of mortality
        2. 18.3.2. Effects of mortality and health
      4. 18.4. Conclusion
      5. 18.5. Acknowledgments
      6. 18.6. References
    5. Chapter 19. Assessing the Predictive Ability of Subjective Survival Probabilities

      Apostolos PAPACHRISTOS and Georgia VERROPOULOU

      1. 19.1. Introduction
        1. 19.1.1. Actual mortality patterns
        2. 19.1.2. Objectives of the study
      2. 19.2. Methods
        1. 19.2.1. Data
        2. 19.2.2. Force of subjective mortality
        3. 19.2.3. Variables
        4. 19.2.4. Statistical modeling
      3. 19.3. Results
        1. 19.3.1. Sample
        2. 19.3.2. Multivariable analyses
      4. 19.4. Discussion
      5. 19.5. Conclusion
      6. 19.6. Acknowledgments
      7. 19.7. References
    6. Chapter 20. Exploring Excess Mortality During the Covid-19 Pandemic with Seasonal ARIMA Models

      Karl-Heinz JÖCKEL and Peter PFLAUMER

      1. 20.1. Introduction
      2. 20.2. Binomial mortality model and the empirical distribution of daily deaths in Germany
      3. 20.3. Non-seasonal ARIMA model for weekly data in Germany
      4. 20.4. Seasonal ARIMA models of weekly deaths for Spain, Germany and Sweden
      5. 20.5. Measuring excess mortality, especially in Spain, Germany and Sweden
      6. 20.6. Forecasting daily deaths in Germany
      7. 20.7. Conclusion
      8. 20.8. Appendix
        1. 20.8.1. Estimation results of the other age classes
        2. 20.8.2. Time series decomposition
      9. 20.9. References
    7. Chapter 21. The Impact of Cesarean Section on Neonatal Mortality in Rural–Urban Divisions in a Region of Brazil

      Carlos SANTOS and Neir PAES

      1. 21.1. Introduction
      2. 21.2. Materials and methods
        1. 21.2.1. Multilevel logistic model
      3. 21.3. Results and discussion
      4. 21.4. Conclusion
      5. 21.5. References
    8. 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

      1. 22.1. Introduction
      2. 22.2. Literature review
      3. 22.3. Methods
      4. 22.4. Results
      5. 22.5. Discussion
      6. 22.6. Conclusion
      7. 22.7. Acknowledgment
      8. 22.8. References
    9. 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

      1. 23.1. Introduction
      2. 23.2. Data and methods
      3. 23.3. Alcohol consumption in European countries by the OECD
      4. 23.4. Czechia
      5. 23.5. Poland
      6. 23.6. Belarus
      7. 23.7. Russia
      8. 23.8. France
      9. 23.9. USA
      10. 23.10. Conclusion
      11. 23.11. Acknowledgment
      12. 23.12. References
    10. Chapter 24. Labor Force Aging in the Czech Republic: The Role of Education and Economic Industry

      Martina SIMKOVA and Jaroslav SIXTA

      1. 24.1. Introduction
      2. 24.2. The setting of the statutory retirement age
      3. 24.3. The economic status of elderly workers
      4. 24.4. The structure of working people by factors
      5. 24.5. The change in the number of workers
      6. 24.6. Conclusion
      7. 24.7. Acknowledgment
      8. 24.8. References
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