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Research Paper | Statistics | Saudi Arabia | Volume 4 Issue 2, February 2015
An Application of Markov Modeling to the Student Flow in Higher Education in Sudan
Dr. Rahmtalla Yousif Adam
Abstract: . This paper focuses on modeling students flow in educational system with a stochastic process depending mainly on Markov Chains to predict the number of graduate students for the coming years. This paper curried out in the high education system in Sudan under the enlargement of intakes during (2001-2011). The model has been applied to estimate the predicting number and ratios of students in different levels for graduate students after studying period without delaying, the ratio of whole graduations, the delaying ratio and dismissed students over the batches. The results indicated that The ratio of delaying seems to be decreasing all over the batches (61 %, 45 %, 42 %, 33 %). From the mean absolute error (MAE) test, the model shows that there is homogeneous and no significant difference in comparing the actual numbers with predicted numbers.
Keywords: Markov Chains, Transition matrix, batches, stochastic process, Kordofan
Edition: Volume 4 Issue 2, February 2015,
Pages: 49 - 54
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Case Studies, Statistics, Saudi Arabia, Volume 10 Issue 2, February 2021
Pages: 952 - 955Forecasting Students Performance: A Case Study at Tabuk University
Mohamed Zidan | Atif Ali Yassin [2] | Gafar Haroun
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Research Paper, Statistics, Cameroon, Volume 10 Issue 1, January 2021
Pages: 1435 - 1444Identification of the Productive Potential of Customers in a Commercial Bank Portfolio: Calculation of the Customer Lifetime Value using Statistical Learning Method
Tchokomeni Herve