Unlimited

Authorized users

Can lend chapters, not whole ebooks

Using artificial neural networks for timeseries smoothing and forecasting : case studies in economics / Jaromír Vrbka.

9783030756499 (electronic bk.)
3030756491 (electronic bk.)
9783030756482
3030756483

Cham : Springer, [2021]

©2021

English

1 online resource : illustrations (chiefly color)

10.1007/978-3-030-75649-9 doi

QA280 .V73 2021

519.5/5

The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the reader with the history and characteristics of the methods and with the time series issues in general. Both statistical and econometric methods, and especially artificial intelligence methods, are used in the case studies. The publication presents both traditional and innovative methods on the theoretical level, always accompanied by a case study, i.e. their specific use in practice. Furthermore, a comprehensive comparative analysis of the individual methods is provided. The book is intended for readers from the ranks of academic staff, students of universities of economics, but also the scientists and practitioners dealing with the time series prediction. From the point of view of practical application, it could provide useful information for speculators and traders on financial markets, especially the commodity markets.

Includes bibliographical references.

Access limited to authorized users.

text file
PDF

Online resource; title from PDF title page (SpringerLink, viewed September 17, 2021).

Studies in computational intelligence ; v. 979. 1860-9503

Print version: 9783030756482

Online Resources > Ebooks
All Resources