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Exploring the Health State of a Population by Dynamic Modeling Methods

  • Christos H. Skiadas
  • Charilaos Skiadas

Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 45)

Table of contents

  1. Front Matter
    Pages i-x
  2. Christos H. Skiadas, Charilaos Skiadas
    Pages 141-155
  3. Christos H. Skiadas, Charilaos Skiadas
    Pages 157-174
  4. Christos H. Skiadas, Charilaos Skiadas
    Pages 205-214
  5. Christos H. Skiadas, Charilaos Skiadas
    Pages 233-237
  6. Back Matter
    Pages 239-244

About this book

Introduction

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.

Keywords

Life table data Stochastic modeling techniques Demography Aging and longevity Public health statistics Health state function Healthy life expectancy Stochastic modelling in Demography Human development stages Dynamical health modelling

Authors and affiliations

  • Christos H. Skiadas
    • 1
  • Charilaos Skiadas
    • 2
  1. 1.ManLab, Technical University of CreteChania, CreteGreece
  2. 2.Department of Mathematics/Computer ScienceHanover CollegeHanoverUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-65142-2
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-319-65141-5
  • Online ISBN 978-3-319-65142-2
  • Series Print ISSN 1389-6784
  • Series Online ISSN 2215-1990
  • Buy this book on publisher's site