Demography and Health Issues: Population Aging, Mortality and Data Analysis

Author:   Christos H. Skiadas ,  Charilaos Skiadas
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
Volume:   46
ISBN:  

9783319760018


Pages:   355
Publication Date:   28 May 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Demography and Health Issues: Population Aging, Mortality and Data Analysis


Overview

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.

Full Product Details

Author:   Christos H. Skiadas ,  Charilaos Skiadas
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2018
Volume:   46
Weight:   5.463kg
ISBN:  

9783319760018


ISBN 10:   3319760017
Pages:   355
Publication Date:   28 May 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Author Information

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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