Quantitative Methods in Demography : Methods and Related Applications in the Covid-19 Era
Language: English
Published by Springer, 2022
Series: Book 42 of 42 - The Springer Series on Demographic Methods and Population Analysis
- Hardcover
- Used
Condition: Used
US$ 119.88
Quantity: 1 available
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Zustand: Hervorragend | Seiten: 524 | Sprache: Englisch | Produktart: Bücher | 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.
Seller Inventory # 38862558/1
- Title
- Quantitative Methods in Demography : Methods and Related Applications in the Covid-19 Era
- Author
- Unbekannt
- Publisher
- Springer
- Publication year
- 2022
- Condition
- Hervorragend
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030930041
- ISBN 13
- 9783030930042
- Series
- Book 42 of 42: The Springer Series on Demographic Methods and Population Analysis
- Seller catalogs
- Bücher
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.
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About the Author
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.
"About the title" may belong to another edition of this title.
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