Journal of Mathematical Sciences: Advances and ApplicationsAuthor's: Ibrakhimjon Rakhimov and Manisha M. Kankarej
Pages: [57] - [71]
Received Date: March 9, 2015
Submitted by:
DOI: http://dx.doi.org/10.18642/jmsaa_7100121465
In this paper, a quantitative forecasting model has been created for studying the dynamics of the student population entering University College in Zayed University, UAE. Admission, curriculum, pre registration, registration, grading, and record management are all supported by the mathematical model in one or the other way. This model explores the projection of the number of students enrolled in General Education (GE). A statistical modelling method is adapted in developing the model. As a case study, we have used the data available on the website and also the data provided by the office of Institutional Research, Zayed University. The model predicts that the number of students in GE has the tendency to increase linearly with the slope of 71.227 and 114.95 for Dubai and Abu Dhabi campuses, respectively, and the limits for 95% confidence interval are (44.01, 98.44) and (87.42, 142.48).
student population, enrollment forecasting, linear model, standard error, confidence interval, posterior probability.
