Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/10105
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dc.contributor.authorAdamu, Lawal-
dc.contributor.authorDanladi, Hakimi-
dc.contributor.authorIdris, Laminu-
dc.date.accessioned2021-07-17T02:29:09Z-
dc.date.available2021-07-17T02:29:09Z-
dc.date.issued2014-
dc.identifier.citationLawal Adamu., Hakimi Danladi., Laminu Idris.(2014)en_US
dc.identifier.issn2278-3008-
dc.identifier.issn2319-7676-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/10105-
dc.description.abstractThis paper deals with the variations of annual rainfall in New- Bussa based on Markov Chain models. This principle was used to formulate a three state model for annual rainfall distribution in New- Bussa.The model is designed such that if given any of the three state in a given year, it is possible to determine quantitatively the probability of making transition to any other two states in the following year(s) and in the long-run. The result from the model shows that in the long-run 70% of the annual rainfall in New-Bussa will be State1, 27% will be state 2 and 3% of the annual rainfall will be State 3. The model could therefore be used to make a forecast of the annual rainfall pattern. This could provide some information for the Crop and Fish farmers, artisanal Fishermen , the Hydroelectric power generating station and the government that could be used to plan strategies to boost their production in New -Bussa and the environmenten_US
dc.language.isoenen_US
dc.publisherIOSR Journal of Mathematicsen_US
dc.relation.ispartofseriesVolume 10, Issue 3 Ver. II (May-Jun. 2014), PP 23-27;-
dc.subjectMarkov Model, Transition probability, annual rainfall, crop and fish farmersen_US
dc.titleStochastic Modelling of Annual Rainfall at New-Bussaen_US
dc.typeArticleen_US
Appears in Collections:Mathematics

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