Quantitative Methods in Demography: Methods and Related Applications in the Covid-19 Era

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Christos H. Skiadas Charilaos Skiadas

Quantitative Methods in Demography

Methods and Related Applications in the Covid-19 Era

Christos H. Skiadas, Charilaos Skiadas

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English

Springer Nature Switzerland AG
02 June 2023

Population & demography; Public health & preventive medicine; Probability & statistics; Maths for scientists

Series: The Springer Series on Demographic Methods and Population Analysis

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.

Edited by: Christos H. Skiadas, Charilaos Skiadas
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 2022 ed.
Volume: 52
Dimensions: Height: 235mm, Width: 155mm,
Weight: 795g
ISBN: 9783030930073
ISBN 10: 3030930076
Series: The Springer Series on Demographic Methods and Population Analysis
Pages: 504
Publication Date: 02 June 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.