Skiadas | Exploring the Health State of a Population by Dynamic Modeling Methods | Buch | 978-3-319-87956-7 | sack.de

Buch, Englisch, Band 45, 244 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 394 g

Reihe: The Springer Series on Demographic Methods and Population Analysis

Skiadas

Exploring the Health State of a Population by Dynamic Modeling Methods


Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-3-319-87956-7
Verlag: Springer International Publishing

Buch, Englisch, Band 45, 244 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 394 g

Reihe: The Springer Series on Demographic Methods and Population Analysis

ISBN: 978-3-319-87956-7
Verlag: Springer International Publishing


Provides methods for estimating the health state of a populationIntroduces dynamical modeling in DemographyProvides tables for health country ranks
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Zielgruppe


Research

Weitere Infos & Material


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.



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