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Complex-Valued Econometrics with Examples in R: Modelling, Regression and Applications

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Complex-Valued Econometrics with Examples in R: Modelling, Regression and Applications. / Svetunkov, Sergey; Svetunkov, Ivan.
Cham: Springer, 2024. 154 p. (Contributions to Economics; Vol. Part F3226).

Research output: Book/Report/Proceedings › Monograph

Harvard

Svetunkov, S & Svetunkov, I 2024, Complex-Valued Econometrics with Examples in R: Modelling, Regression and Applications. Contributions to Economics, vol. Part F3226, Springer, Cham. https://doi.org/10.1007/978-3-031-62608-1

APA

Svetunkov, S., & Svetunkov, I. (2024). Complex-Valued Econometrics with Examples in R: Modelling, Regression and Applications. (Contributions to Economics; Vol. Part F3226). Springer. https://doi.org/10.1007/978-3-031-62608-1

Vancouver

Svetunkov S, Svetunkov I. Complex-Valued Econometrics with Examples in R: Modelling, Regression and Applications. Cham: Springer, 2024. 154 p. (Contributions to Economics). doi: 10.1007/978-3-031-62608-1

Author

Svetunkov, Sergey ; Svetunkov, Ivan. / Complex-Valued Econometrics with Examples in R : Modelling, Regression and Applications. Cham : Springer, 2024. 154 p. (Contributions to Economics).

Bibtex

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title = "Complex-Valued Econometrics with Examples in R: Modelling, Regression and Applications",
abstract = "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.",
author = "Sergey Svetunkov and Ivan Svetunkov",
year = "2024",
month = jul,
day = "26",
doi = "10.1007/978-3-031-62608-1",
language = "English",
isbn = "9783031626074",
series = "Contributions to Economics",
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RIS

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AU - Svetunkov, Ivan

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Y1 - 2024/7/26

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-031-62608-1

M3 - Monograph

SN - 9783031626074

SN - 9783031626104

T3 - Contributions to Economics

BT - Complex-Valued Econometrics with Examples in R

PB - Springer

CY - Cham

ER -