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Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/7646

Título: Non-linear time series models
Autor: Turkman, Kamil Feridun
Palavras-chave: Linear processes
Modeling time series
Issue Date: May-1996
Resumo: 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.
URI: http://hdl.handle.net/10362/7646
Appears in Collections:ISEGI - Working Papers

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