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Demography and Health Issues

Population Aging, Mortality and Data Analysis

  • Book
  • © 2018

Overview

  • Explores and applies quantitative methods in Demography
  • Integrates statistics, data analysis and stochastic techniques
  • Includes stochastic processes as well as Markov models

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

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Table of contents (28 chapters)

  1. Health Sciences, Demography, Risk and Insurance

Keywords

About this book

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.

Editors and Affiliations

  • ManLab, Technical University of Crete, Chania, Crete, Greece

    Christos H. Skiadas

  • Department of Mathematics/Computer Science, Hanover College, Hanover, USA

    Charilaos Skiadas

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.


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