Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/26985
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dc.contributor.authorlawal, A.-
dc.contributor.authorDidigwu, N. E.-
dc.contributor.authorSaidu, D. Y.-
dc.contributor.authorSadiq, S. L.-
dc.contributor.authorAudu, Khadeejah James-
dc.date.accessioned2024-03-22T16:47:40Z-
dc.date.available2024-03-22T16:47:40Z-
dc.date.issued2021-12-12-
dc.identifier.issn1118 – 1931-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/26985-
dc.description.abstractIn this paper, Grey system model (GM(1,1)) and Grey-Markov model that forecast Nigeria annual Rice production have been presented. The data used in the research were collected from the archive of Central Bank of Nigeria for a period of Six years (2010-2015). The fitted models showed high level of accuracy. Hence, the models can be used for food security plans of the nation.en_US
dc.language.isoenen_US
dc.publisherFaculty of Science, University of Port Harcourt, Nigeriaen_US
dc.relation.ispartofseriesVolume 20, Series 3;73-84-
dc.subjectRice, Production, Grey-System Model,en_US
dc.subjectGrey-Markov Model, Forecasting, Nigeriaen_US
dc.titleAPPLICATION OF GREY-MARKOV MODEL FOR FORECASTING NIGERIA ANNUAL RICE PRODUCTIONen_US
dc.typeArticleen_US
Appears in Collections:Mathematics

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