Exploring the Health State of a Population by Dynamic Modeling Methods

Zusatztext

<div>Provides methods for estimating the health state of a population</div><div>Introduces dynamical modeling in Demography</div><div>Provides tables for health country ranks</div><div><br/></div>

Autorenportrait

<div>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.</div><div><br/></div><div>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.</div><div><br/></div>

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