This book introduces and applies the stochastic modeling techniques and the first exit time theory in demography through describing the theory related to the health state of a population and the introduced health state function. The book provides the derivation and classification of the human development stages. The data fitting techniques and related programs are also presented. Many new and old terms are explored and quantitatively estimated, especially the health state or vitality of a population, the deterioration and related functions, as well as healthy life expectancy. The book provides the appropriate comparative applications and statistics as connecting tools accompanied by the existing literature, and as such it will be a valuable source to demographers, health scientists, statisticians, economists and sociologists.
1 Life Expectancy, Deterioration Function and Application to Halley
Breslau Data.- 2 A Quantitative Method for Estimating the Human Development
Stages based on the Health State Function Theory and the Resulting
Deterioration Process.- 3 Estimating the Healthy Life Expectancy from the
Health State Function of a Population in Connection to the Life Expectancy at
Birth.- 4 The Health-Mortality Approach in Estimating the Healthy Life Years
Lost Compared to the Global Burden of Disease Studies and Applications in
World, USA and Japan.- 5 The Health State Status of the US States for the
period 1989-1991 (Decennial Life Tables).- 6 Life Expectancy at Birth,
Estimates and Forecasts in the Netherlands (Females).- 7 Remarks and Findings
on Evidence for a limit to human life span .- 8 Stages of Human
Development: The Life-Span Approach and Related Applications and Related
Applications and Comparisons.- 9 Derivation and Validation of the Health
State Function form of a Population.- 10 The Health Status of a Population:
Health State and Survival Curves and HALE Estimates.- 11 Theoretical Approach
to Health State Modeling.
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.
