Complex-Valued Econometrics with Examples in R: Modelling, Regression and Applications (Contributions to Economics) - Tapa dura

Svetunkov, Sergey; Svetunkov, Ivan

 
9783031626074: Complex-Valued Econometrics with Examples in R: Modelling, Regression and Applications (Contributions to Economics)
Tapa dura
ISBN 10: 3031626079 ISBN 13: 9783031626074
Editorial: Springer-Verlag GmbH, 2024

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Sergey Svetunkov, PhD in Economics, Doctor of Economic Sciences, Professor at the Peter the Great St. Petersburg Polytechnic University, is the leading expert in the field of mathematical modelling in economics and economic forecasting. He is an author of more than 250 scientific publications. Over the last few decades, he has also acted as an expert of the Russian Science Foundation.

Ivan Svetunkov is a Lecturer of Marketing Analytics at Lancaster University, UK. He has PhD in Management Science from Lancaster University and a candidate degree in economics from Saint Petersburg State University of Economics and Finance. His main area of interest is statistical learning for forecasting, focusing on demand forecasting in healthcare, supply chains and retail. He is a creator and a maintainer of several forecasting- and analytics-related R packages and an author of many papers and a monograph “Forecasting and Analytics with the Augmented Dynamic Adaptive Model”.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer-Verlag GmbH
Año de publicación
2024
Idioma
Inglés
ISBN 10 
3031626079
ISBN 13 
9783031626074
Encuadernación
Tapa dura
Número de páginas
165
Contacto del fabricante
ProductSafety@springernature.com
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