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

• Pubblicazione: Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2022]; ©2022
• Descrizione fisica: 1 online resource (444 pages)
• Disciplina: 005.741
• Soggetto topico: Quantitative research
• Persona (resp. second.): ZafeirisKonstantinos N
• Note generali: Includes Index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Data analysis and related applications
• ISBN: 1-394-16554-4; 1-394-16552-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910830678503321
• Lo trovi qui: Univ. Federico II
• Serie: Innovation, entrepreneurship and management series. . -Big data, artificial intelligence and data analysis set ; ; v. 10.