Quantitative Methods in Demography

Methods and Related Applications in the Covid-19 Era

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Éditeur :

Springer


Paru le : 2022-05-30



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Description

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.
Pages
504 pages
Collection
n.c
Parution
2022-05-30
Marque
Springer
EAN papier
9783030930042
EAN PDF
9783030930059

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
50
Taille du fichier
35758 Ko
Prix
139,09 €
EAN EPUB
9783030930059

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
50
Taille du fichier
67584 Ko
Prix
139,09 €

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.

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