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Research Article Open access CC BY 3.0

A Mathematical Modeling of School Feeding Programme in the Asem – Kumasi Cluster of Schools in Ashanti Region of Ghana

W. Obeng-Denteh, K. A. Gyasi-Agyei, L. Boateng, B. A. Owusu, K. A. Asiedu, O. Antepim

Journal of Advances in Mathematics and Computer Science · pp. 704–718 · Published 5 Dec 2013

10.9734/BJMCS/2014/4949

Abstract

This paper sought to study and examine the need to investigate with quantitative data whether the objectives of higher enrolment has been met with the introduction of School Feeding Programme in the Ashanti region of Ghana. Time series analysis was used to analyze the data obtained. A best fit model was found by using the Box Jenkin’s approach to time series analysis. Time series and forecasting has been used to model and forecast the enrolment of pupils of schools which were currently enrolled on the Ghana School Feeding Programme with Asem Cluster of Schools as a case study. The forecasted number of pupils who will be enrolled were obtained by using ARIMA (3, 1, 3) model. The AIC for the best selected model was calculated as 1236.17. The study concluded that the school feeding in the region should be continued to attract more pupils.

Autocorrelation Function (ACF) Partial Autocorrelation Function (PACF) Mean Average (MA) Autoregressive (AR) Autoregressive Integrated Moving Average (ARIMA) Akaike’s Information Criteria (AIC) Schwarz’s Bayesian Information Criteria (BIC).

Cited by 1

Nutritional Status of Pupils Attending Public Schools with and without School Feeding Programme in Hohoe Municipality, Ghana

F. Agbozo, Prosper Atitto, Abdulai Abubakari · 2017

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