Exploring the Health State of a Population by Dynamic Modeling Methods
Authors: Skiadas, Christos H., Skiadas, Charilaos
Free Preview- Provides methods for estimating the health state of a populationIntroduces dynamical modeling in DemographyProvides tables for health country ranks
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- About this book
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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.
- About the authors
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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.
- Table of contents (11 chapters)
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Life Expectancy, Deterioration Function and Application to Halley Breslau Data
Pages 1-19
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A Quantitative Method for Estimating the Human Development Stages Based on the Health State Function Theory and the Resulting Deterioration Process
Pages 21-42
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Estimating the Healthy Life Expectancy from the Health State Function of a Population in Connection to the Life Expectancy at Birth
Pages 43-65
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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
Pages 67-124
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The Health State Status of the US States for the Period 1989–1991 (Decennial Life Tables)
Pages 125-139
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Table of contents (11 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Exploring the Health State of a Population by Dynamic Modeling Methods
- Authors
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- Christos H. Skiadas
- Charilaos Skiadas
- Series Title
- The Springer Series on Demographic Methods and Population Analysis
- Series Volume
- 45
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG, part of Springer Nature
- eBook ISBN
- 978-3-319-65142-2
- DOI
- 10.1007/978-3-319-65142-2
- Hardcover ISBN
- 978-3-319-65141-5
- Softcover ISBN
- 978-3-319-87956-7
- Series ISSN
- 1389-6784
- Edition Number
- 1
- Number of Pages
- X, 244
- Number of Illustrations
- 125 b/w illustrations
- Topics
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