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Complex-valued econometrics with exa...

Svetunkov, Sergey.

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Complex-valued econometrics with examples in R = modelling, regression and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Complex-valued econometrics with examples in R/ by Sergey Svetunkov, Ivan Svetunkov.
其他題名:	modelling, regression and applications /
作者:	Svetunkov, Sergey.
其他作者:	Svetunkov, Ivan.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xi, 154 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction to theory of complex variables -- Chapter 2. Simple Complex Linear Regression -- Chapter 3. Correlation analysis of complex random variables -- Chapter 4. Multiple Complex Linear Regression -- Chapter 5. Assumptions of Complex Linear Models -- Chapter 6. Complex Dynamic Models -- Chapter 7. Examples of application.
Contained By:	Springer Nature eBook
標題:	Econometric models. -
電子資源:	https://doi.org/10.1007/978-3-031-62608-1
ISBN:	9783031626081

Complex-valued econometrics with examples in R = modelling, regression and applications /
Svetunkov, Sergey.

Complex-valued econometrics with examples in Rmodelling, regression and applications /[electronic resource] :by Sergey Svetunkov, Ivan Svetunkov. - Cham :Springer Nature Switzerland :2024. - xi, 154 p. :ill., digital ;24 cm. - Contributions to economics,2197-7178. - Contributions to economics..

Chapter 1. Introduction to theory of complex variables -- Chapter 2. Simple Complex Linear Regression -- Chapter 3. Correlation analysis of complex random variables -- Chapter 4. Multiple Complex Linear Regression -- Chapter 5. Assumptions of Complex Linear Models -- Chapter 6. Complex Dynamic Models -- Chapter 7. Examples of application.

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: 9783031626081

Standard No.: 10.1007/978-3-031-62608-1doiSubjects--Topical Terms:

542933
Econometric models.

LC Class. No.: HB141 / .S84 2024

Dewey Class. No.: 330.015195

Complex-valued econometrics with examples in R = modelling, regression and applications /
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