Data analysis and related applications. Volume 2 : multivariate, health and demographic data analysis / edited by Konstantinos N Zafeiris [and four others].

Format:

Book

Contributor:

Zafeiris, Konstantinos N, editor.

Series:

Innovation, entrepreneurship and management series. Big data, artificial intelligence and data analysis set ; v. 10.

Big data, artificial intelligence and data analysis set ; volume 10

Language:

English

Subjects (All):

Quantitative research.

Physical Description:

1 online resource (444 pages)

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, Incorporated, [2022]

Summary:

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.

Contents:

Cover

Half-Title Page

Title Page

Copyright Page

Contents

Preface

PART 1

1. A Topological Clustering of Variables

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

2. A New Regression Model for Count Compositions

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

3. Intergenerational Class Mobility in Greece with Evidence from EU-SILC

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

4. Capturing School-to-Work Transitions Using Data from the First European Graduate Survey

4.1. Introduction

4.2. Data and methodology

4.3. Results

4.4. Conclusion

4.5. References

5. A Cluster Analysis Approach for Identifying Precarious Workers

5.1. Introduction

5.2. Data and methodology

5.3. Results

5.4. Conclusion and discussion

5.4.1. Declarations

5.5. References

6. American Option Pricing Under a Varying Economic Situation Using Semi-Markov Decision Process

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

7. The Implementation of Hierarchical Classifications and Cochran's Rule in the Analysis of Social Data

7.1. Introduction

7.2. Methods

7.3. Results

7.4. Conclusion

7.5. References

8. Dynamic Optimization with Tempered Stable Subordinators for Modeling River Hydraulics

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

9. Predicting Event Counts in Event-Driven Clinical Trials Accounting for Cure and Ongoing Recruitment

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

10. Structural Modeling: An Application to the Evaluation of Ecosystem Practices at the Plot Level

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

11. Lean Management as an Improvement Factor in Health Services - The Case of Venizeleio General Hospital of Crete, Greece

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

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

12.1. Introduction

12.2. Methodology and material

12.2.1. Research tools for measuring motivation and professional

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

13. Developing a Bibliometric Quality Indicator for Journals Applied to the Field of Dentistry

13.1. Introduction

13.2. Methodology

13.3. Discussion and conclusion

13.4. Acknowledgments

13.5. Appendix

13.6. References

14. Statistical Process Monitoring Techniques for Covid-19

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

15. Increase of Retirement Age and Health State of Population in Czechia

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

16. A Generalized Mean Under a Non-Regular Framework and Extreme Value Index Estimation

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 firstand 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

17. Demography and Policies in V4 Countries

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

18. Decomposing Differences in Life Expectancy With and Without Disability: The Case of Czechia

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.

19. Assessing the Predictive Ability of Subjective Survival Probabilities

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

20. Exploring Excess Mortality During the Covid-19 Pandemic with Seasonal ARIMA Models

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

21. The Impact of Cesarean Section on Neonatal Mortality in Rural-Urban Divisions in a Region of Brazil

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

22. Analysis of Alcohol Policy in Czechia: Estimation of Alcohol Policy Scale Compared to EU Countries

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

23. Alcohol-Related Mortality and Its Cause-Elimination in Life Tables in Selected European Countries and USA: An International Comparison

23.1. Introduction

23.2. Data and methods

23.3. Alcohol consumption in European countries by the OECD

23.4. Czechia.

23.5. Poland.

Notes:

Description based on print version record.

Includes Index.

Other Format:

Print version: Zafeiris, Konstantinos N. Data Analysis and Related Applications, Volume 2

ISBN:

9781394165544

1394165544

9781394165520

1394165528

OCLC:

1341444025