Application of ARIMAX model for forecasting paddy production in Trincomalee district in Sri Lanka

dc.contributor.authorYogarajah, B
dc.contributor.authorElankumaran, C
dc.contributor.authorVigneswaran, R
dc.date.accessioned2015-09-04T02:29:27Z
dc.date.available2015-09-04T02:29:27Z
dc.date.issued2013-07-06
dc.description.abstractIn the post-war climes, the government’s mandates focus on reviving one of the paddy production region Trincomalee district in SriLanka to meet the growing demands of the nation. Such a rehabilitation program requires the understanding of how the paddy producing industry has fared along the historical time-lines. This understanding is essential for developing the necessary development plans for the Rice sector. When an ARIMA model includes other time series as input variables, the model is referred to as an ARIMAX model. Pankratz (1991). In this paper, ARIMAX model has been applied to forecast annual paddy production with includes rainfall time series as input variable for both seasons in this district. The validity of the model is verified with various model selection criteria such as Adj R2, minimum of AIC and SBC lowest MAPE valuesen_US
dc.identifier.citationProceedings of the Third International Symposium 2013, pp. 21-25
dc.identifier.issn9789556270426
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/370
dc.language.isoen_USen_US
dc.publisherSouth Eastern University of Sri lankaen_US
dc.subjectARIMAX modelen_US
dc.subjectForecastingen_US
dc.subjectAICen_US
dc.subjectSBCen_US
dc.subjectMAPEen_US
dc.titleApplication of ARIMAX model for forecasting paddy production in Trincomalee district in Sri Lankaen_US
dc.typeFull paperen_US

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