Threshold Autoregressive Model for a Time Series Data

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Threshold Autoregressive Model for a Time Series Data

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dc.contributor.author Kesavan Nampoothiri,C
dc.contributor.author Balakrishna, N
dc.date.accessioned 2012-04-11T06:27:54Z
dc.date.available 2012-04-11T06:27:54Z
dc.date.issued 2000
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/2858
dc.description.abstract In this paper we try to fit a threshold autoregressive (TAR) model to time series data of monthly coconut oil prices at Cochin market. The procedure proposed by Tsay [7] for fitting the TAR model is briefly presented. The fitted model is compared with a simple autoregressive (AR) model. The results are in favour of TAR process. Thus the monthly coconut oil prices exhibit a type of non-linearity which can be accounted for by a threshold model. en_US
dc.description.sponsorship Cochin University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Jour. Ind. Soc. Ag. Statistics en_US
dc.subject Autocorrelation functions en_US
dc.subject Coconut oil en_US
dc.subject Threshold autoregressive model en_US
dc.title Threshold Autoregressive Model for a Time Series Data en_US
dc.type Working Paper en_US


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