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© 2018

Demography and Health Issues

Population Aging, Mortality and Data Analysis

  • Christos H. Skiadas
  • Charilaos Skiadas
Book

Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 46)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Demography and Related Applications: Health Status and the Lifespan Limit

  3. Mortality Modeling and Applications

    1. Front Matter
      Pages 49-49
    2. Konstantinos N. Zafeiris, Christos H. Skiadas
      Pages 63-70
    3. Konstantinos N. Zafeiris
      Pages 71-82
    4. Neir Antunes Paes, Alisson dos Santos Silva
      Pages 83-94
  4. Statistical Models and Methods in Biostatistics and Epidemiology

    1. Front Matter
      Pages 95-95
    2. Janelle Brennan, K. C. Chan, Rebecca Kippen, C. T. Lenard, T. M. Mills, Ruth F. G. Williams
      Pages 97-106
    3. Alla Ivanova, Tamara Sabgayda, Viktoria Semyonova, Elena Zemlyanova
      Pages 107-119
    4. Giuseppe Giordano, Steven Haberman, Maria Russolillo
      Pages 121-130
  5. Stochastic and Neuro-Fuzzy Methods

    1. Front Matter
      Pages 131-131
    2. Gaia Bertarelli, Franca Crippa, Fulvia Mecatti
      Pages 133-142
    3. Jesús E. García, R. Gholizadeh, V. A. González López
      Pages 143-153
    4. J. A. Pereira, L. Mendes, A. Costa, T. A. Oliveira
      Pages 155-167
    5. Maria Symeonaki, Aggeliki Kazani, Catherine Michalopoulou
      Pages 169-181

About this book

Introduction

This book provides new theories, applications and quantitative methods in demography, population studies and statistics. It presents and applies data analysis, statistics and stochastic modeling techniques focusing on demography, population aging, mortality and health sciences.  The book describes diverse stochastic processes as well as Markov and semi-Markov models in demography and population studies, along with chapters on statistical models and methods in biostatistics and epidemiology.  As such the book will be a valuable source to demographers, health scientists, statisticians, economists and sociologists.

Keywords

Population aging Methods in biostatistics and epidemiology Stochastic processes and Markov models Dynamical health modeling Demograpic statistics Aging and longevity Health Sciences Statistics and Data Analysis in Demography Stochastic modeling in Demography

Editors 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

About the editors

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.

Bibliographic information

  • Book Title Demography and Health Issues
  • Book Subtitle Population Aging, Mortality and Data Analysis
  • Editors Christos H. Skiadas
    Charilaos Skiadas
  • Series Title The Springer Series on Demographic Methods and Population Analysis
  • Series Abbreviated Title Springer Ser.Demographic (formerly:Plenum Ser.Demographic)
  • DOI https://doi.org/10.1007/978-3-319-76002-5
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences Social Sciences (R0)
  • Hardcover ISBN 978-3-319-76001-8
  • Softcover ISBN 978-3-030-09376-1
  • eBook ISBN 978-3-319-76002-5
  • Series ISSN 1389-6784
  • Series E-ISSN 2215-1990
  • Edition Number 1
  • Number of Pages IX, 355
  • Number of Illustrations 257 b/w illustrations, 0 illustrations in colour
  • Topics Demography
    Public Health
    Statistics for Social Sciences, Humanities, Law
    Probability Theory and Stochastic Processes
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