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  • © 2022

Quantitative Methods in Demography

Methods and Related Applications in the Covid-19 Era

  • Explores and applies quantitative methods in Demography
  • Integrates statistics, data analysis and stochastic techniques
  • Explores mortality modelling and related issues

Part of the book series: The Springer Series on Demographic Methods and Population Analysis (PSDE, volume 52)

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Table of contents (35 chapters)

  1. Front Matter

    Pages i-xiv
  2. Global Health – Longevity

    1. Front Matter

      Pages 89-89
    2. Global Health and Longevity: AnAnalysis of Post-World War II Data

      • Konstantinos N. Zafeiris, Christos Skiadas
      Pages 97-141
    3. Health Care Need Adjusted Prospective Old-age Dependency Ratio in Selected European Countries

      • Tomáš Fiala, Jitka Langhamrová, Jana Vrabcová
      Pages 143-154
  3. Mortality – Survival

    1. Front Matter

      Pages 165-165
    2. Completeness Assessment of Neonatal Deaths in a Region of Brazil: Linkage and Imputing Missing Data

      • Neir Antunes Paes, Carlos Sérgio Araújo dos Santos, Tiê Dias de Farias Coutinho
      Pages 207-217
    3. Modelling Nigerian Female Mortality: An Application of Four Stochastic Mortality Models

      • Oluwaseun Eniola Adegbilero-Iwari, Angela Unna Chukwu
      Pages 229-244

About this book

This book provides quantitative and applied methodologies in the Covid-19 era exploring important issues in demography, population studies, and health. It provides insight into health and health measures as to the healthy life years lost and the healthy life expectancy related to Covid-19 pandemic. It also describes mortality and survival and focuses on data analysis in demography and population studies. Special methods and applications in demography and society are also described, thereby including applications in society, pension and insurance. As such, this book is a valuable guide for researchers, theoreticians and practitioners from various scientific fields.

Editors and Affiliations

  • ManLab, Technical University of Crete, Chania, Greece

    Christos H. Skiadas

  • Dept of Mathematics/Comp 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, Greece, and former Vice-Rector of the University. 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, Indiana, USA. 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

Buy it now

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access