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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 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Complex-valued econometrics with examples in R/ by Sergey Svetunkov, Ivan Svetunkov.
Reminder of title:
modelling, regression and applications /
Author:
Svetunkov, Sergey.
other author:
Svetunkov, Ivan.
Published:
Cham :Springer Nature Switzerland : : 2024.,
Description:
xi, 154 p. :ill., digital ;24 cm.
[NT 15003449]:
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
Subject:
Econometric models. -
Online resource:
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 R
modelling, 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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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.
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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.
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Economics and Finance (SpringerNature-41170)
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W9494511
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EB HB141 .S84 2024
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