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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.
Autorius: | Ivan Svetunkov, Sergey Svetunkov, |
Serija: | Contributions to Economics |
Leidėjas: | Springer International Publishing |
Išleidimo metai: | 2024 |
Knygos puslapių skaičius: | 168 |
ISBN-10: | 3031626079 |
ISBN-13: | 9783031626074 |
Formatas: | 241 x 160 x 15 mm. Knyga kietu viršeliu |
Kalba: | Anglų |
Parašykite atsiliepimą apie „Complex-Valued Econometrics with Examples in R: Modelling, Regression and Applications“