This book explores the application of complex variables to econometric modeling. Providing a thorough introduction to the theory of complex numbers, it extends these concepts to develop complex-valued models that enhance the accuracy and depth of economic forecasting and data analysis. From simple to multiple complex linear regression, the monograph discusses model formulation, estimation techniques, and correlation analysis, supported by examples in R.
This comprehensive guide is a useful resource for students, researchers, and practitioners aiming to apply advanced mathematical techniques to tackle complex real-life problems, making it a useful tool for enhancing predictive analytics in business, economics, and finance.
| ISBN: | 9783031626074 |
| Publication date: | 15th August 2024 |
| Author: | Sergey Svetunkov, Ivan Svetunkov |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 154 pages |
| Series: | Contributions to Economics |
| Genres: |
Economic theory and philosophy Management decision making Operational research Probability and statistics Econometrics and economic statistics Economics, Finance, Business and Management |