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None Математическая демоэкономика. Макросистемный подход

None Математическая демоэкономика. Макросистемный подход

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Demoeconomics: A Mathematical Macro-System Approach

This monograph presents demoeconomics as an emerging interdisciplinary science, integrating extensive facts, patterns, methodologies, and research tools. The author proposes a unified mathematical foundation—the macro-system concept—to analyze diverse demoeconomic processes from a systemic perspective. This approach models how large numbers of interacting, stochastic elements transform into quasi-deterministic behavior of the entire system. Given the uncertain environment in which demoeconomic systems operate, the book introduces probabilistic modeling and forecasting techniques.

The material covers both established and novel mathematical methods for analyzing equilibrium and non-equilibrium models of demoeconomic subsystems. Numerous real-world statistical examples illustrate the applications. This volume is intended for students, postgraduate researchers, and professionals interested in the mathematics of demoeconomic systems, as well as practitioners in demographic and economic forecasting.

Customer reviews

David Park ★★★★☆
After using it for a while, The card clearly explains the book's focus on demoeconomics as a new interdisciplinary field. It highlights the mathematical macro-system approach and probabilistic modeling, making it easy to understand what the content covers. The intended audience is well-defined, and the description is straightforward without unnecessary jargon.
Alex Rivera ★★★★☆
Overall, The card clearly explains the book's focus on demoeconomics as a new interdisciplinary field. It highlights the mathematical macro-system approach and probabilistic modeling, making it easy to understand what the content covers. The intended audience is well-defined, and the description is straightforward without unnecessary jargon.
James Carter ★★★★☆
The card clearly explains the book's focus on demoeconomics as a new interdisciplinary field. It highlights the mathematical macro-system approach and probabilistic modeling, making it easy to understand what the content covers. The intended audience is well-defined, and the description is straightforward without unnecessary jargon.