Demography of Population Health, Aging and Health Expenditures

Part I: Healthy Aging, Healthy Life Years Lost and Health Expenditure Allocation.- Chapter 1. Relation of the Weibull Shape Parameter with the Healthy Life Years Lost Estimates: Analytic Derivation and Estimation from an Extended Life Table.- Chapter 2. Direct Healthy Life Expectancy Estimates from Life Tables with a Sullivan Extension. Bridging the Gap Between HALE and Eurostat Estimates.- Chapter 3. Modeling the Health Expenditure in Japan, 2011. A Healthy Life Years Lost Methodology.- Chapter 4. Healthy Ageing in Czechia.- Chapter 5. Evolution of Systems with Power-Law Memory: Do We Have to Die?.- Part II: Mortality Modeling and Applications.- Chapter 6. Structural Equation Modeling: Infant Mortality Rate in Egypt Application.- Chapter 7. Modeling of mortality in elderly by lung cancer in the Northeast of Brazil.- Chapter 8. Demographics of the Russian pension reform.- Chapter 9. Using the Developing Countries Mortality Database (DCMD) to Probabilistically Evaluate the Completeness of Death Registration at Old Ages.- Chapter 10. Mortality developments in Greece from the cohort perspective.- Chapter 11. On demographic approach of the BGGM distribution parameters on Italy and Sweden.- Chapter 12. Alcohol consumption in selected European countries.- Part III: Birth-Death Process, Self-perceived Age and Gender Differences.- Chapter 13. Modelling monthly birth and deaths using Seasonal Forecasting Methods as an input for population estimates.- Chapter 14. Births by order and childlessness in the post-socialist countries.- Chapter 15. On the evaluation of 'Self-perceived Age' for Europeans and Americans.- Part IV: Theoretical Issues and Applications.- Chapter 16. Spatio-temporal aspects of community well-being in Multivariate Functional Data approach.- Chapter 17. Properties and Dynamics of the Beta Gompertz Generalized Makeham Distribution.- Chapter 18. Increasing efficiency in the EBT algorithm.- Chapter 19. Psychometric validation of constructs defined by

Christos H. Skiadas, PhD, was the founder and director of the Data Analysis and Forecasting Laboratory at the Technical University of Crete. He is chair of the Demographics Workshop series, the Applied Stochastic Models and Data Analysis Conference series and the Chaotic Modeling and Simulation Conference series. He has published more than 80 papers, three monographs, and 18 books, including probability, statistics, data analysis and forecasting. His research interests include innovation diffusion modeling and forecasting, life table data modeling, healthy life expectancy estimates, and deterministic, stochastic, and chaotic modeling.Charilaos Skiadas, PhD, is an associate professor in mathematics and computer science at Hanover College. His research interests encompass a wide array of mathematical and computing topics, ranging from algebraic geometry to statistics and programming languages to data science and health state modeling.