ISSN: 2375-3927
International Journal of Mathematical Analysis and Applications  
Manuscript Information
Determination of a Better Mathematical Model for Food Security in Nigeria (A Case Study of Taraba State)
International Journal of Mathematical Analysis and Applications
Vol.4 , No. 6, Publication Date: Oct. 17, 2017, Page: 35-41
874 Views Since October 17, 2017, 474 Downloads Since Oct. 17, 2017

Okorie Charity Ebelechukwu, Department of Mathematics and Statistics, Federal University Wukari, Wukari, Nigeria.


Ogwumu David Onah, Department of Mathematics and Statistics, Federal University Wukari, Wukari, Nigeria.


Ogbaji Eka Oche, Department of Mathematics and Statistics, Federal University Wukari, Wukari, Nigeria.


Adamu Abdul Kareem, Department of Mathematics and Statistics, Federal University Wukari, Wukari, Nigeria.


Onudibia Moses Ejike, Department of Pure and Applied Physics, Federal University Wukari, Wukari, Nigeria.


Food is source life to human existence. It is a known fact that no living thing can survive without food. For a country to be said to have food security, the prices of available food commodities must be affordable to everybody in that country and that is determined by the cost of the food commodities. As prices of agricultural commodities keep increasing, the availability of food becomes limited to every home in Nigeria. This is because, not everybody can afford high cost of food. When such happens, there will be food insecurity instead of food security. The aim of this paper is to use Time series equations and Non Linear equations to compare the prices of the selected agricultural commodities. Price is considered because, price plays a major role to food security in any country. Data were collected at monthly basis from the prices of three agricultural commodities for the period of nine years (2008-2016). The commodities include local rice, cassava flour and Red maize. The results from the models formulated from the selected commodities were used to compare the two methods. The results show that nonlinear equation method is better than Least Square method because Non linear equation method has a minimal error compared to the Least Square method.


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