BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
Complex-Valued Econometrics with Examples in R
Modelling, Regression and Applications
Springer
ISBN 978-3-031-62607-4
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2024
20 s/w-Abbildungen, 43 Farbabbildungen.
In englischer Sprache
Umfang: xi, 154 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-62607-4
Produktbeschreibung
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.
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.
Autorinnen und Autoren
Kundeninformationen
Offers an original approach to complex-valued autoregressions Presents new sections of mathematical statistics of a complex random variable Useful for the practice of modeling complex stochastic processes, including multidimensional processes
Produktsicherheit
Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com
Rezensionen
