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Structural Changes and their Econometric Modeling: Studies in Computational Intelligence, cartea 808

Editat de Vladik Kreinovich, Songsak Sriboonchitta
en Limba Engleză Hardback – 24 noi 2018
This book focuses on structural changes and economic modeling. It presents papers describing how to model structural changes, as well as those introducing improvements to the existing before-structural-changes models, making it easier to later on combine these models with techniques describing structural changes. The book also includes related theoretical developments and practical applications of the resulting techniques to economic problems.
Most traditional mathematical models of economic processes describe how the corresponding quantities change with time. However, in addition to such relatively smooth numerical changes, economical phenomena often undergo more drastic structural change. Describing such structural changes is not easy, but it is vital if we want to have a more adequate description of economic phenomena – and thus, more accurate and more reliable predictions and a better understanding on how best to influence the economic situation.
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Specificații

ISBN-13: 9783030042622
ISBN-10: 3030042626
Pagini: 785
Ilustrații: X, 776 p. 148 illus., 109 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.41 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

This book focuses on structural changes and economic modeling. It presents papers describing how to model structural changes, as well as those introducing improvements to the existing before-structural-changes models, making it easier to later on combine these models with techniques describing structural changes. The book also includes related theoretical developments and practical applications of the resulting techniques to economic problems.
Most traditional mathematical models of economic processes describe how the corresponding quantities change with time. However, in addition to such relatively smooth numerical changes, economical phenomena often undergo more drastic structural change. Describing such structural changes is not easy, but it is vital if we want to have a more adequate description of economic phenomena – and thus, more accurate and more reliable predictions and a better understanding on how best to influence the economic situation.

Caracteristici

Presents recent research on predictive econometrics and big data Introduces readers to the theoretical foundations and applications Written by respected experts in the field Features edited papers presented at the 12th International Conference of the Thailand Econometric Society (TES2019), held in Chiang Mai, Thailand, on January 9–11, 2019