9780792338697 - Computational Economic Systems: Models, Methods & Econometrics (Advances in Computational Economics, 5, Band 5) (4 Ergebnisse)

Gebundene Ausgabe. Zustand: Gut. 292 Seiten ex Library Book aus einer wissenschafltichen Bibliothek Sprache: Englisch Gewicht in Gramm: 969.

Gebunden. Zustand: New. The approach to many problems in economic analysis has changed drastically with the development and dissemination of new and more efficient computational techniques. Computational Economic Systems: Models, Methods & Econometrics present.

Zustand: New. The approach to many problems in economic analysis has changed drastically with the development and dissemination of efficient computational techniques. This book presents a selection of papers illustrating the use of various computational methods and computing techniques to solve economic problems. Editor(s): Gilli, Manfred. Series: Advances in Computational Economics. Num Pages: 284 pages, biography. BIC Classification: KCA; KCS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 17. Weight in Grams: 1310. . 1995. Hardback. . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - The approach to many problems in economic analysis has changed drastically with the development and dissemination of new and more efficient computational techniques. Computational Economic Systems: Models, Methods & Econometrics presents a selection of papers illustrating the use of new computational methods and computing techniques to solve economic problems. Part I of the volume consists of papers which focus on modelling economic systems, presenting computational methods to investigate the evolution of behavior of economic agents, techniques to solve complex inventory models on a parallel computer and an original approach for the construction and solution of multicriteria models involving logical conditions. Contributions to Part II concern new computational approaches to economic problems. We find an application of wavelets to outlier detection. New estimation algorithms are presented, one concerning seemingly related regression models, a second one on nonlinear rational expectation models and a third one dealing with switching GARCH estimation. Three contributions contain original approaches for the solution of nonlinear rational expectation models.