Please use this identifier to cite or link to this item:
Title: Non-linear time series models
Authors: Turkman, Kamil Feridun
Keywords: Linear processes
Modeling time series
Issue Date: May-1996
Abstract: The last three decades have seen quite dramatic changes the way we modeled time dependent data. Linear processes have been in the center stage in modeling time series. As far as the second order properties are concerned, the theory and the methodology are very adequate.However, there are more and more evidences that linear models are not sufficiently flexible and rich enough for modeling purposes and that failure to account for non-linearities can be very misleading and have undesired consequences.
Appears in Collections:NIMS - Working Papers

Files in This Item:
File Description SizeFormat 
WP0051.pdf3,59 MBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.