Mathematical Demography: Theory and Modeling

Erscheinungsjahr 2026
ISBN: 978-981-956128-5
Verlag: Springer

Buch, Englisch, 173 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 306 g

Reihe: Mathematical Marvels: Texts and Monographs in the Spirit of CR Rao

This textbook is written with the intention of providing the essentials of foundational training in modeling, both mathematical and stochastic. It offers a comprehensive understanding of theoretical and formal mathematical demography and human population dynamics. Presented in an engaging, clear and concise manner, it aims to outline traditional material and recent advancements in the field, specifically tailored for both beginners and professionals. Separate chapters discuss classical as well as recent developments in stable and stationary populations, such as Euler–Lotka population equations, and life tables. Partial differential equations models of single population dynamics, McKendrick von Foerster models of population growth and Okubo’s diffusion models are derived. Population ecology models like the Lotka–Volterra two-population framework, Kermack–McKendrick three-population models, and their stability analysis foundations are succinctly explained. Recent advancements in stationary population theories and newer population stability principles developed are included. The book also includes two chapters on stochastic process models in demography. The content of the book is not only accessible and relevant to students and researchers in mathematical demography but also to those working in actuarial science, ecology, statistics and mathematical modeling.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Srinivasa Rao, Arni S.R.

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik Mathematik Mathematische Analysis Differentialrechnungen und -gleichungen
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie

Inhaltsverzeichnis

Euler-Lotka Population Integral Equations.- PDE Models in Population Dynamics.- Life Table.- Classical and Newer Measures of Population Stability.- Mathematics of Stationary Populations.- Markov Process Models in Demography.- Branching Process.- Multiple Decrement Table.

Über Autor(innen)

Arni S.R. Srinivasa Rao is a Professor at the Medical College of Georgia, Augusta University, and Director of the Laboratory for Theory and Mathematical Modeling, housed within the Division of Infectious Diseases at the Medical College of Georgia, Augusta, U.S.A. Previously, he conducted research and taught at the Mathematical Institute, University of Oxford (2003, 2005–2007), the Indian Statistical Institute, Kolkata (1998–2002, 2006–2012), the Indian Institute of Science (2002–2004), and the University of Guelph (2004–2006). Until 2012, he held a permanent faculty position at the Indian Statistical Institute, Kolkata, India.

He works in artificial intelligence, pure and applied mathematics, probability, and their applications in medicine. He has received the Heiwa–Nakajima Award (Japan) and the Fast Track Young Scientists Fellowship in Mathematical Sciences (DST, New Delhi, India). Rao proved major theorems in stationary population models, including Rao’s Partition Theorem and the Rao–Carey Theorem. His mathematical modeling assisted in national policies for controlling the spread of diseases. He introduced a new class of network models for studying avian pathogen biology on grid graphs, known as “chicken walk models”. He also developed the world’s first AI model for COVID-19 identification using mobile phone apps and introduced concepts such as “Exact Deep Learning Machines” and “Multilevel Contours” within bundles of complex number planes.

Rao has edited 12 volumes of the series in collaboration with the legendary statistician Dr. C.R. Rao. He currently serves on the editorial boards of several prestigious journals and book series, including:

• Series Editor (2019–): , Elsevier
• Editor-in-Chief (2024–): , Springer
• Guest Editor (2023–2024): , Springer
• Guest Editor (2025): and , Springer
• Editorial Board (2015–): , Springer
• Guest Editor (2022): , Elsevier
• Editorial Board (2023–): , Duke University Press