دانلود کتاب Demography: Measuring and Modeling Population Processes
by Samuel H. Preston, Patrick Heuveline, Michel Guillot
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عنوان فارسی: جمعیت شناسی: اندازه گیری و مدل سازی فرآیند جمعیت |
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جزییات کتاب
“It is really a graduate-level textbook of formal demography. As such, is needed. I will certainly use it as my basic textbook when it comes out. They have done an excellent job of keeping this interesting and informative.” --Professor Kenneth Hill, Director of the Johns Hopkins Population Center
This book presents and develops the basic methods and models that are used by demographers to study the behavior of human populations. The procedures are clearly and concisely developed from first principles, and extensive applications are presented.
The authors focus on quantitative procedures for studying the growth and structure of populations, including measurement of fertility and mortality, population projection, and equilibrium models. The book also covers procedures for evaluating data quality and estimating demographic parameters when conventional data are deficient. It will provide a comprehensive introduction to demographic methods for all students and researchers in this subject.
- Samuel H. Preston is Frederick J. Warren Professor of Demography and Dean of the School of Arts and Sciences at the University of Pennsylvania. He has written monographs on mortality patterns, world urbanization, the history of child health, and other subjects. He is a member of the National Academy of Sciences and the American Philosophical Society.
- Patrick Heuveline is Assistant Professor of Sociology and Research Associate of the Population Research Center at the University of Chicago. His recent work applies demographic analysis to such diverse topics as the Cambodian genocide and the HIV/AIDS pandemic.
- Michel Guillot is a Post-Doctoral Fellow at the Harvard Center for Population and Development Studies, where his research focuses on formal demography and mortality in developing countries. He has a Ph.D. in Demography and Sociology from the University of Pennsylvania.